Phaidra

You would lead engineering from design through production, maintain complex systems, mentor engineers, drive technical decisions, and collaborate across teams on reliability. | The role requires 7+ years of software engineering experience, distributed-systems expertise, and strong Python or similar-language skills, with candidates based in the United States, Canada, or the UK. | ABOUT PHAIDRA Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: * We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. * We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. * We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo [https://www.nature.com/articles/nature16961], to reducing the energy required to cool Google's Data Centers [https://www.technologyreview.com/2018/08/17/140987/google-just-gave-control-over-data-center-cooling-to-an-ai/] by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR [https://www.oysterhr.com/]. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. WHO YOU ARE We are looking for a driven Senior Software Engineer to join our Engineering team. You are bold and creative, and you have deep empathy for customers, including those who may not be tech-savvy. In this role, you will lead engineering efforts across your team and adjacent teams, driving the design and delivery of complex systems and products. You will partner with engineers, product managers, and customer-facing teams to solve hard problems, and you will raise the bar for the engineers around you. **We are seeking teammates who are based in the United States or Canada (Eastern or Central timezone) or the UK. RESPONSIBILITIES * Initiate and lead engineering efforts for projects on your team, from design through production, owning what you ship and maintaining it over time. * Own and review project briefs and technical designs for complex features and systems, driving technical decisions and cross-team alignment. * Coordinate across teams and ensure your team’s work fits into and improves the broader systems. * Write clean, well-tested code with clear and extensible interfaces, being careful not to create undue technical debt. * Find points of friction and drive improvements to how the company designs, builds, tests, and operates software. * Evaluate technologies and tradeoffs systematically and holistically, extending your team's understanding of the existing tech stack to meet changing requirements. * Mentor engineers on your team and across teams, helping them grow their craft through pairing, reviews, and thoughtful feedback. * Collaborate with product, design, customer engineering, and other teams to identify technical blindspots, clarify ambiguity, and deliver iteratively. * Leverage AI-assisted development tools to accelerate your team's delivery, establishing patterns and practices for effective use. * Lead operational excellence for your team's products, ensuring reliability and performance through on-call ownership, tooling, documentation, and CI/CD practices. KEY QUALIFICATIONS * 7+ years of professional software engineering experience. * Experience designing, building, and operating complex production systems, including distributed systems, service-oriented architectures, and data modeling at scale. * Demonstrated ability to lead technical projects that require coordination across multiple teams. * Strong debugging skills and a pragmatic approach to reliability and performance. * Production experience in Python (or similar) and Cloud environments. * Experience building, operating, and monitoring modern SaaS applications, APIs, and high-throughput services. * Experience with production software engineering, including relational and non-relational data modeling, micro-services, understanding of event driven systems, etc. * Experience operating services in production using observability tooling (for example: Prometheus, Grafana, Tempo, or equivalent). * Experience with at least one strongly typed language (for example: Go, Java, C#, or TypeScript) is a plus. * Comfortable collaborating across teams and communicating clearly in an all-remote setting. * Share our company values: Agency, Velocity, Craft, Truth PREFERRED SKILLS & EXPERIENCE * Experience building multi-tenant systems with high availability, fault tolerance, performance tuning. * Experience with containerization and orchestration technologies like Docker and Kubernetes. * Familiarity with machine learning systems in production, including training pipelines, evals, or MLOps. OUR STACK * Languages: Python, Go, and C# (.NET) * PyTorch * Docker, Kubernetes, Terraform, and Kapitan [https://kapitan.dev/] * GitLab CI, ArgoCD, Atlantis * GCP: GKE, PubSub, CloudSQL, BigTable, Postgres, etc. * REST and gRPC micro-services ONBOARDING In your first 30 days... * You will be immersed in an onboarding program that introduces you to Phaidra and our product. * You will spend time in the Engineering org, learning how teams operate, interact, and approach problems. * You will read various parts of our handbook and familiarize yourself with Phaidras documentation culture. * You will set up your development environment and complete an onboarding exercise that introduces you to our code base. * You will learn how we plan and execute work and be able to navigate our sprint boards and backlogs. * You will learn team standards and development and release processes. * You will start to learn about our system architecture and infrastructure. * You will pick up a few starter tasks to get familiar with the end-to-end development and release flow. * You will shadow customer and internal stakeholder conversations to understand real-world use cases and pain points. By your first 60 days... * You will have a solid understanding of what Phaidra does and how we do it. * You will have met with team members across Phaidra and started building relationships that help you be successful. * You will have completed the onboarding exercise and shipped your first production change. By your first 90 days... * You will be fully integrated into the team and collaborating effectively across the company. * You will have a deeper understanding of our system architecture and infrastructure. * You will have participated in the on-call rotation and contributed improvements to reliability and operational practices. * You will be comfortable with our tooling and contribute to knowledge sharing throughout Phaidra. GENERAL INTERVIEW PROCESS All of our interviews are held via Google Meet, and an active camera connection is required. 1. Meeting with People Operations team member (30 minutes) 2. Meeting with Hiring Manager (30 minutes) 3. Data Structures and Algorithms Technical Interview (45 minutes) 4. System Design Technical Interview (60 minutes) 5. Cross-Functional Collaboration Interview (45 minutes) 6. Culture fit interview with one of Phaidra’s co-founders and VP of Engineering (30 minutes) We use Kula as our hiring platform. During your interview, Kula's AI Notetaker will record a transcript of the meeting to allow the interviewer to focus on the interview, not the note taking. BASE SALARY US Residents: * Tier 1 (Largest highest-cost metros): 138,507 USD - 203,144 USD * Tier 2 (Other major metros): 131,582 USD - 192,987 USD * Tier 3 (Mid-sized metro areas): 124,657 USD - 182,830 USD * Tier 4 (All other locations): 117,731 USD - 172,673 USD Canada Residents: * Tier 1 (Vancouver, Toronto): 142,316 CAD - 208,731 CAD * Tier 2 (Montreal): 132,829 CAD - 194,815 CAD * Tier 3 (Waterloo, Ottawa, Calgary): 113,853 CAD - 166,984 CAD * Tier 4 (Smaller cities / rural areas): 104,365 CAD - 153,069 CAD UK Residents  * Tier 1 (London): 93,008 GBP - 148,812 GBP * Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 87,537 GBP - 140,059 GBP * Tier 3 (Smaller cities / rural areas): 87,537 GBP - 82,066 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. BENEFITS & PERKS * Fast-paced, team-oriented environment where your work directly shapes the company’s direction. * We are a 100% remote company.  * Competitive compensation & meaningful equity. * Outsized responsibilities & professional development. * Training is foundational; functional, customer immersion, and development training. * Medical, dental, and vision insurance (exact benefits vary by region). * Unlimited paid time off, with a required minimum of 20 days per year. * Paid parental leave (exact benefits vary by region). * Flexible stipends to support your workspace, well-being, and continued professional development. * Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. ON BEING REMOTE We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. EQUAL OPPORTUNITY EMPLOYMENT Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai [hiring@phaidra.ai]. E-VERIFY NOTICE Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here [https://drive.google.com/file/d/1E2bNjdEIG-f7tZ2Hg_zFXR2FjT4idYz-/view?usp=share_link]. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Design and implement reusable Azure platform components and deployment workflows, ensuring reliability, security, and observability. | Requires 5+ years in platform or infrastructure engineering, production experience with Azure and Kubernetes, Terraform proficiency, and software development skills in Python or Go. | ABOUT PHAIDRA Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: * We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. * We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. * We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo [https://www.nature.com/articles/nature16961], to reducing the energy required to cool Google's Data Centers [https://www.technologyreview.com/2018/08/17/140987/google-just-gave-control-over-data-center-cooling-to-an-ai/] by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR [https://www.oysterhr.com/]. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. WHO YOU ARE You are a senior platform engineer who can turn cloud primitives into reliable, supported building blocks for other engineers. You have operated production systems in Azure, write software rather than relying on manual operations, and make deliberate choices about where Phaidra should use a common abstraction versus a provider-native service. You are pragmatic, product-minded, and comfortable owning ambiguous work across software, infrastructure, reliability, and security boundaries in a remote company. **We are seeking teammates who are based in the United States or Canada (Eastern timezone). ABOUT THE ROLE You will lead the design and implementation of the systems required to make Phaidra’s platform capabilities available on Azure. You will turn Phaidra’s broader platform strategy into working Azure foundations, supported deployment workflows, Kubernetes capabilities, observability, and security defaults without creating a separate platform for each cloud. This role is important to Phaidra’s next phase of growth. As our products reach a broader set of customers and deployment environments, the platform must support Azure with the same reliability and engineering leverage as our existing cloud systems. The architecture and interfaces you establish will shape how multiple product and AI teams build and operate software. WHAT YOU’LL WORK ON The Platform team works across the areas below. Your work will span this surface based on company priorities, bringing particular depth in Azure. 1. Azure platform foundations * Design and operate production Azure environments, including subscriptions and management groups, networking, private connectivity, identity, policy, DNS, storage, and managed Kubernetes. * Build reusable platform components for AKS and supporting Azure services. * Establish secure, observable, cost-aware defaults that product teams can consume without cloud-specific expertise. 2. Developer platform and delivery * Extend golden paths, service templates, and self-service workflows to Azure. * Extend Phaidra’s existing Terraform, Kapitan, GitLab CI, ArgoCD, and Crossplane workflows to provision and deploy services on Azure. * Build libraries, CLIs, APIs, controllers, and automation that remove manual work from environment provisioning and service operations. 3. Reliability and operations * Define SLIs, SLOs, dashboards, alerts, backup, recovery, and capacity practices for Azure-hosted services. * Participate in on-call, lead incident follow-up, and turn recurring operational work into platform improvements. * Design for failure across availability zones and, where required, regions. 4. Security and governance * Partner with security on identity, secrets, policy, network isolation, supply-chain controls, and compliance evidence. * Encode governance in platform modules and pipelines rather than depending on review-time memory. 5. Technical leadership * Lead the design and implementation of multi-team initiatives that advance Phaidra’s broader platform strategy. * Make sound technical decisions, surface cross-platform tradeoffs early, document interfaces, and mentor engineers. KEY QUALIFICATIONS * 5+ years of professional experience in platform engineering, infrastructure engineering, SRE, or software engineering with an infrastructure focus. * Strong production experience with Azure, including AKS, Entra ID, Azure networking and private endpoints, Azure Policy, Key Vault, managed identities, and Azure Monitor or equivalent observability integrations. * Production Kubernetes experience, including workload identity, networking, storage, autoscaling, upgrades, and incident debugging. * Infrastructure-as-code experience with Terraform and a configuration or packaging system such as Kapitan, Helm, or Kustomize. * Experience building or operating internal platform capabilities such as golden paths, service templates, self-service environments, platform APIs, or developer tooling. * Strong software engineering skills in Python, Go, or another high-level language; comfortable building maintainable libraries, services, CLIs, or controllers. * Experience with GitOps and CI/CD in production. * Demonstrated ownership of ambiguous technical initiatives spanning multiple teams. PREFERRED SKILLS & EXPERIENCE * Production experience across Azure and at least one other major cloud, with evidence of designing useful multi-cloud interfaces rather than forcing lowest-common-denominator abstractions. * Experience migrating or extending a Kubernetes platform from GCP or AWS into Azure. * Crossplane, Azure Service Operator, or Kubernetes operator development. * AI/ML infrastructure, GPU scheduling, model serving, vector systems, or distributed data processing. * FinOps practices and Azure cost optimization. NICE-TO-HAVES * Kubernetes operator development or deployment. * Experience with private customer deployments or restricted network environments. * Familiarity with software supply-chain controls and compliance evidence automation. OUR STACK * Languages: Python, Go, Bash * Cloud: Azure and GCP * Containers: Kubernetes, AKS, GKE * IaC and configuration: Terraform, Kapitan, Crossplane, Helm/Kustomize * Delivery: GitLab CI, ArgoCD, Atlantis * Observability: Grafana, Prometheus, OpenTelemetry ONBOARDING In your first 30 days… * Learn Phaidra’s products, Platform strategy, current GCP architecture, delivery model, and the requirements driving Azure adoption. * Meet engineers across Platform, Productivity, product engineering, AI, and security to understand how they use and depend on the platform. * Set up the development environment and complete the team’s platform onboarding exercise. * Trace a representative service from source code through CI, GitOps deployment, Kubernetes operation, and observability. * Review the existing Azure designs, implementation state, and major architectural decisions that remain open. * Ship a scoped improvement to an Azure foundation, platform component, or its automation. * Shadow the Platform on-call rotation and review recent incidents and operational follow-up. In your first 60 days… * Develop a detailed understanding of how Phaidra’s platform abstractions map to Azure and where provider-specific behavior must remain explicit. * Own a defined Azure platform area and document its supported interface, reliability model, security assumptions, and operational runbooks. * Deliver a reusable Azure capability through the standard GitOps and infrastructure-as-code path. * Support a product or AI engineering team adopting that capability and incorporate feedback into the platform design. * Participate in on-call with support from the team and complete follow-up that reduces repeat operational work. In your first 90 days… * Lead the design and implementation of an Azure platform initiative through production use by a product or AI workload. * Establish measurable reliability, security, developer-experience, and cost outcomes for the area you lead. * Document architectural decisions and the interfaces that keep Azure consistent with Phaidra’s broader platform while preserving useful provider-native capabilities. * Mentor engineers working in adjacent platform areas and contribute to the next phase of the Azure platform roadmap. * Operate comfortably in the Platform on-call rotation and turn what you learn into systemic improvements. GENERAL INTERVIEW PROCESS All of our interviews are held via Google Meet, and an active camera connection is required. 1. Meeting with People Operations team member (30 minutes) 2. Meeting with Hiring Manager (30 minutes) 3. Platform Engineer Technical Interview (60 minutes) 4. Azure Technical Interview (60 minutes) 5. Cyber Enablement Interview: Controls Implementation (45 minutes) 6. Culture fit interview with one of Phaidra’s co-founders (30 minutes) We use Kula as our hiring platform. During your interview, Kula's AI Notetaker will record a transcript of the meeting to allow the interviewer to focus on the interview, not the note taking. BASE SALARY US Residents: * Tier 1 (Largest highest-cost metros): 136,496 USD - 200,194 USD * Tier 2 (Other major metros): 129,671 USD - 190,185 USD * Tier 3 (Mid-sized metro areas): 122,846 USD - 180,175 USD * Tier 4 (All other locations): 116,022 USD - 170,165 USD Canada Residents: * Tier 1 (Vancouver, Toronto): 140,250 CAD - 205,700 CAD * Tier 2 (Montreal): 130,900 CAD - 191,986 CAD * Tier 3 (Waterloo, Ottawa, Calgary): 112,200 CAD - 164,560 CAD * Tier 4 (Smaller cities / rural areas): 102,850 CAD - 150,846 CAD In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. BENEFITS & PERKS * Fast-paced, team-oriented environment where your work directly shapes the company’s direction. * We are a 100% remote company.  * Competitive compensation & meaningful equity. * Outsized responsibilities & professional development. * Training is foundational; functional, customer immersion, and development training. * Medical, dental, and vision insurance (exact benefits vary by region). * Unlimited paid time off, with a required minimum of 20 days per year. * Paid parental leave (exact benefits vary by region). * Flexible stipends to support your workspace, well-being, and continued professional development. * Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. ON BEING REMOTE We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. EQUAL OPPORTUNITY EMPLOYMENT Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai [hiring@phaidra.ai]. E-VERIFY NOTICE Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here [https://drive.google.com/file/d/1E2bNjdEIG-f7tZ2Hg_zFXR2FjT4idYz-/view?usp=share_link]. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Design and implement infrastructure for deploying and operating control software in customer-controlled networks, turning site-specific constraints into reusable installation, configuration, and monitoring capabilities. | Requires 5+ years in software, platform, or infrastructure engineering, strong Python, Go, or C# skills, experience with restricted or on-premises networks, and working knowledge of Linux, containers, and networking. | ABOUT PHAIDRA Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: * We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. * We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. * We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo [https://www.nature.com/articles/nature16961], to reducing the energy required to cool Google's Data Centers [https://www.technologyreview.com/2018/08/17/140987/google-just-gave-control-over-data-center-cooling-to-an-ai/] by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR [https://www.oysterhr.com/]. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. WHO YOU ARE You are a senior software engineer who has built and operated platform infrastructure inside customer-controlled networks, where the environment cannot be treated like another cloud account. You are comfortable using software and automation to create consistent deployment environments across operating systems, networking, compute, storage, and observability. You have deep empathy for customers and their IT and operations teams. You can turn site-specific constraints into reusable platform capabilities without pretending that every facility is identical. **We are seeking teammates who are based in the United States or Canada (Eastern timezone). ABOUT THE ROLE You will lead the design and implementation of the infrastructure that allows Phaidra’s control software to be deployed and operated reliably inside customer networks. As Phaidra deploys control agents across more customer environments, we need a consistent approach to customer-site infrastructure, deployment, and operations. Working alongside the RL Control team, you will turn Phaidra’s broader infrastructure direction into systems for installing, configuring, updating, observing, and supporting deployments across varied customer networks. This is a hands-on senior engineering role. You will make design decisions and lead implementation in this area, working with Infrastructure leadership on broader direction and with the RL Control team on requirements and integration. WHAT YOU’LL WORK ON You will lead platform design and implementation within a cross-functional effort to bring Phaidra’s products into customer environments. Working alongside RL Control, Infrastructure, and customer delivery teams, you will turn recurring deployment challenges into reusable capabilities. The areas below describe that shared problem space; your work will span them as product and deployment needs evolve. 1. Customer-Site Infrastructure * Design and build a standardized Phaidra infrastructure footprint inside customer networks that gives product teams a consistent target for deploying control agents and supporting services. * Define the compute, operating-system, networking, storage, identity, configuration, and observability capabilities that every deployment can rely on. * Evaluate when Phaidra should supply or standardize hardware, and integrate that hardware into a repeatable deployment and support model. 2. Deployment Platform and Interfaces * Build the platform services and interfaces other teams use to package, deploy, configure, monitor, and safely update their software. * Provide resource isolation, health management, restart and recovery behavior, and version compatibility at the platform layer. * Partner with controls and product engineers to define clear contracts between the platform, deployed software, local equipment, and cloud services. 3. Industrial Connectivity * Build reliable data ingress, command egress, and connection-management capabilities between Phaidra software and customer control systems. * Develop or integrate clients and adapters for programmable logic controllers (PLCs), building management systems (BMS), supervisory control and data acquisition systems (SCADA), and protocols such as OPC UA and Modbus/TCP. * Work with customer IT and operations teams to satisfy site networking, security, access, and performance constraints. 4. Deployment and Operations * Build repeatable installation, commissioning, configuration, upgrade, rollback, backup, and recovery workflows. * Provide remote management and diagnostics when permitted while ensuring the local platform remains safe and useful through restricted or intermittent connectivity. * Build telemetry, alerting, and support tooling that lets Phaidra understand platform and agent health across deployed sites. 5. Technical Design and Delivery * Lead system design and implementation for customer-site infrastructure and deployment capabilities. * Work with RL Control to define requirements and interfaces, coordinating with other teams where needed. * Document technical decisions, identify broader infrastructure tradeoffs, and turn recurring needs into reusable platform capabilities. KEY QUALIFICATIONS * 5+ years of professional experience in software engineering, platform engineering, infrastructure engineering, SRE, or a related area. * Experience building or operating infrastructure in customer-controlled, on-premises, hybrid, or otherwise restricted network environments. * Strong programming skills in a high-level language such as Python, Go, or C# and experience building maintainable automation or platform services. * Working knowledge of Linux, containers, networking, and production debugging. * Experience building repeatable automation for provisioning, configuration, deployment, updates, or operational management. * Ability to turn varied deployment requirements into reusable platform capabilities and supported operational patterns. * Demonstrated ability to lead the design and implementation of ambiguous technical work and collaborate effectively across teams. PREFERRED SKILLS & EXPERIENCE * Docker and Kubernetes in on-premises, hybrid, or resource-constrained environments. * Familiarity with deploying and supporting physical devices, gateways, or industrial-compute systems in customer networks. * Experience with or working knowledge of real-time operating systems (RTOS) and software that interacts with physical equipment. * OPC UA, Modbus/TCP, BACnet, MQTT, or other industrial and device protocols. * Cross-platform development for Linux and Windows. * Local message brokers, durable queues, and event-driven systems. * Private networking, certificate management, workload identity, and secrets distribution. * Observability for remote systems using Prometheus, Grafana, OpenTelemetry, or equivalent tools. NICE-TO-HAVES * Secure remote access for systems operating in customer environments. * Synchronization between local and cloud services, including operation through limited or interrupted connectivity. * Bare-metal provisioning, secure boot, trusted platform modules (TPMs), or hardware-backed identity. * GPU or other specialized compute in customer environments. * Experience commissioning software that monitors or controls physical equipment. * Familiarity with safety-sensitive control systems. OUR STACK * Languages: Python, Go, C#/.NET, Bash * Customer-site platform: Linux, Windows, Docker, Kubernetes * Industrial connectivity: PLCs, BMS/SCADA systems, OPC UA, Modbus/TCP, related protocols * IaC and configuration: Terraform, Kapitan, Helm/Kustomize * Delivery: GitLab CI, ArgoCD, Atlantis * Observability: Grafana, Prometheus, OpenTelemetry * Environments: Customer networks, on-premises systems, GCP, and Azure ONBOARDING In your first 30 days… * Learn Phaidra’s control products, current customer-site deployments, connectivity systems, commissioning process, and cloud architecture. * Embed with the Controls team and meet partners across Infrastructure, product engineering, customer delivery, and security to understand how customer-site systems are designed and operated. * Review representative customer network architectures, deployment constraints, industrial interfaces, and support history. * Set up the development environment and reproduce a representative customer-site installation. * Trace how a product team’s control agent moves from packaging through deployment, configuration, operation, telemetry, and update within a customer environment. * Review the current customer-site infrastructure, deployment, and connectivity components and identify where repeated site-specific work should become a platform capability. * Ship a scoped improvement to an existing deployment, connectivity, or agent-runtime workflow. In your first 60 days… * Develop a detailed understanding of the constraints shared across current and planned customer deployments and the differences that should remain explicit. * Lead the design of one foundational platform capability, such as the standardized customer-site footprint, installation and upgrade workflow, industrial connectivity interface, hardware baseline, or remote diagnostics. * Define the platform interfaces, operating assumptions, security boundaries, and failure behavior for that capability. * Validate the design against representative customer environments and with the teams that will build on or operate it. * Contribute to an active customer-site deployment or commissioning effort and turn what you learn into reusable platform work. In your first 90 days… * Deliver a meaningful portion of that capability through a representative end-to-end deployment. * Publish the interfaces, operational expectations, and testing approach that other teams will use when building and deploying control agents on the platform. * Demonstrate that the capability reduces bespoke deployment work, improves operability, or removes a recurring customer-site constraint. * Recommend the next improvements based on deployment evidence, support demand, and expected product needs. * Work effectively with RL Control and contribute lessons from customer-site deployments to Phaidra’s broader infrastructure direction. GENERAL INTERVIEW PROCESS All of our interviews are held via Google Meet, and an active camera connection is required. 1. Meeting with People Operations team member (30 minutes) 2. Meeting with Hiring Manager (30 minutes) 3. Data Structures and Algorithms Technical Interview (45 minutes) 4. System Design and SRE Technical Interview (90 minutes) 5. Customer-Site Developer Platform Interview (60 minutes) 6. Culture fit interview with one of Phaidra’s co-founders (30 minutes) We use Kula as our hiring platform. During your interview, Kula's AI Notetaker will record a transcript of the meeting to allow the interviewer to focus on the interview, not the note taking. BASE SALARY US Residents: * Tier 1 (Largest highest-cost metros): 136,496 USD - 200,194 USD * Tier 2 (Other major metros): 129,671 USD - 190,185 USD * Tier 3 (Mid-sized metro areas): 122,846 USD - 180,175 USD * Tier 4 (All other locations): 116,022 USD - 170,165 USD Canada Residents: * Tier 1 (Vancouver, Toronto): 140,250 CAD - 205,700 CAD * Tier 2 (Montreal): 130,900 CAD - 191,986 CAD * Tier 3 (Waterloo, Ottawa, Calgary): 112,200 CAD - 164,560 CAD * Tier 4 (Smaller cities / rural areas): 102,850 CAD - 150,846 CAD In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. BENEFITS & PERKS * Fast-paced, team-oriented environment where your work directly shapes the company’s direction. * We are a 100% remote company.  * Competitive compensation & meaningful equity. * Outsized responsibilities & professional development. * Training is foundational; functional, customer immersion, and development training. * Medical, dental, and vision insurance (exact benefits vary by region). * Unlimited paid time off, with a required minimum of 20 days per year. * Paid parental leave (exact benefits vary by region). * Flexible stipends to support your workspace, well-being, and continued professional development. * Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. ON BEING REMOTE We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. EQUAL OPPORTUNITY EMPLOYMENT Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai [hiring@phaidra.ai]. E-VERIFY NOTICE Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here [https://drive.google.com/file/d/1E2bNjdEIG-f7tZ2Hg_zFXR2FjT4idYz-/view?usp=share_link]. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Own and expand the HVAC and EPMS ontology for the Prism product, and build tools, schemas, and pipelines for authoring and validating it. | Requires strong HVAC or EPMS domain knowledge, experience modeling complex domains, Python proficiency, software engineering fundamentals, and a bachelor's degree. | ABOUT PHAIDRA Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: * We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. * We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. * We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. WHO YOU ARE We are looking for a driven Ontology Engineer to own the internal ontology that powers Prism. You sit at the intersection of HVAC/EPMS domain expertise and software — you understand how chillers, cooling towers, CRAHs, pumps, and electrical power monitoring systems actually behave, and you can encode that understanding into a structured, machine-usable model. You are bold and creative, with deep empathy for customers whose systems are messy, inconsistent, and rarely documented the same way twice. You will design, build, and expand significant parts of the ontology and the tooling around it, and you'll have the opportunity to make an immediate impact on how quickly and reliably we can onboard new customer systems onto our product. You are curious and like to understand technologies and their tradeoffs in depth. You already have accumulated insight from hands-on work with building systems and their control, and you are committed to rolling up your sleeves and getting work done. You like partnering with engineers, solutions teams, and domain experts — learning from them, and letting them benefit from your expertise. **We are seeking teammates who are based in one of the following locations: USA or Canada (Eastern timezone preferred) RESPONSIBILITIES You will own, maintain, and expand the ontology that defines the HVAC and EPMS components, tags, and relationships used across Prism. This is the shared vocabulary that lets our AI reason about a customer's physical plant — every component type, every measurable tag, and how they connect. The ontology is upstream of how we map real customer installations onto our product, so its quality directly determines how fast and how correctly we can onboard and control new systems. You will collaborate closely with Solutions Engineers, AI Core, Product, and domain experts to make sure the model reflects both physical reality and how our AI needs to consume it. In particular, you will: * Own the end-to-end lifecycle of the Prism ontology — define, extend, refactor, version, and deprecate HVAC/EPMS component types, tags, and the relationships between them. * Model new equipment classes and cooling/power topologies as we enter new customer segments, translating messy real-world system diagrams into a clean, consistent, extensible structure. * Design and maintain the tooling, schemas, and pipelines that let engineers and solutions teams author, validate, and query the ontology — full-stack ownership of both the model and the software around it. * Build validation and consistency checks that catch modeling errors, ambiguous tags, and broken relationships before they reach production. * Partner with the AI Core team on the configs and Domain Specific Language (DSL) that map customer systems onto the ontology, ensuring the model is expressible and unambiguous. * Establish and document standards and conventions for naming, tagging, and relationships so the ontology stays coherent as it grows and as more people contribute to it. * Act as the internal source of truth and reviewer for ontology changes, guiding engineers and solutions teams toward correct, reusable modeling patterns. * Collaborate in cross-functional initiatives with engineers, product managers, and domain experts across teams. KEY QUALIFICATIONS * Strong domain knowledge of HVAC and/or EPMS systems — you understand how the equipment works, how it's instrumented, and how it's controlled. * Demonstrated ability to model a complex domain into a structured, consistent, extensible form (ontology, taxonomy, schema, data model, or equivalent). * Proven ability to independently own and deliver complex projects with high quality and reliability. * Solid software engineering fundamentals — you can build and maintain the tooling and pipelines around the model, not just define it. Comfortable with data modeling (relational and non-relational) and writing production-quality code. * Good working knowledge of Python. * Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences, in an all-remote setting. * Familiarity with semantic modeling or building-data standards such as Brick Schema, Haystack, or RDF/OWL ontologies. * Strong attention to consistency, naming, and data integrity. * Good educational background in one or more relevant disciplines such as Mechanical Engineering, HVAC/Controls, Electrical Engineering, Computer Science, or equivalent experience. * Shares our company values: Agency, Velocity, Craft, Truth PREFERRED SKILLS & EXPERIENCE * Hands-on experience with building automation, BMS/BAS, or industrial control systems (e.g., BACnet, Modbus, point/tag naming standards). * Experience designing a Domain Specific Language or configuration system for mapping external systems onto an internal model. * Experience with datacenter cooling and/or electrical power monitoring at scale. * Experience with cloud services and event-driven data pipelines. * Track record of successful collaboration with domain experts to turn tacit knowledge into shared tooling. RELEVANT TECHNOLOGIES FROM OUR STACK * Python, Go * Postgres, MongoDB, Parquet, etc. * REST & gRPC micro-services * Docker, Kubernetes, Terraform & Kapitan [https://kapitan.dev/] * GCP — GKE, PubSub, CloudSQL, BigTable, etc. * Grafana Cloud [https://grafana.com/products/cloud/], Prometheus * Gitlab CI, ArgoCD, Atlantis ONBOARDING In your first 30 days... * You will be immersed in an onboarding program that introduces you to Phaidra and our product. * You will spend time across Engineering, Solutions, and Data Science, learning how teams operate and how the ontology is consumed downstream. * You will read parts of our handbook and familiarize yourself with our documentation culture. * You will set up your development environment and work through an onboarding exercise that walks you through the ontology and its tooling. * You will learn how a real customer install gets mapped onto Prism today, end to end. In your first 60 days… * You will have a solid understanding of what Phaidra does and how the ontology fits into the product. * You will have built relationships with the engineers, solutions teams, and domain experts you'll work with most. * You will complete the onboarding exercise and ship your first meaningful ontology change or tooling improvement. In your first 90 days… * You will be fully integrated with the team and cross-functional partners. * You will independently own a new component class or subsystem modeling effort from proposal through production. * You will have identified at least one gap or inconsistency in the current ontology or its tooling and driven a concrete improvement. * You will begin setting standards and sharing knowledge on modeling patterns across the company. GENERAL INTERVIEW PROCESS All of our interviews are held via Google Meet, and an active camera connection is required. 1. Meeting with Operations (30 minutes) — Meet you, learn about your background, discuss what you're looking for, and cover formalities around your application. 2. Domain & Modeling Interview (75 minutes) — A working session on HVAC/EPMS systems and how you'd model them. Expect to walk through a real-world system and design its component/tag/relationship structure. 3. Culture fit interview with Phaidra's co-founders (30 minutes) — Alignment with Phaidra's values and mutual cultural fit. We use Kula as our hiring platform. During your interview, Kula's AI Notetaker will record a transcript of the meeting to allow the interviewer to focus on the interview, not the note taking. BASE SALARY US Residents: * Tier 1 (Largest highest-cost metros): 134,442 USD - 175,615 USD * Tier 2 (Other major metros): 127,720 USD - 175,615 USD * Tier 3 (Mid-sized metro areas): 120,998 USD - 166,372 USD * Tier 4 (All other locations): 114,276 USD - 157,130 USD Canada Residents  * Tier 1 (Vancouver/Toronto): 136,123 CAD - 187,169 CAD * Tier 2 (Montreal): 127,048 - 174,691 CAD * Tier 3 (Waterloo, Ottawa, Calgary): 108,898 CAD - 149,735 CAD * Tier 4 (Smaller cities / rural areas):  99,823 CAD - 137,257 CAD In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. BENEFITS & PERKS * Fast-paced, team-oriented environment where your work directly shapes the company’s direction. * We are a 100% remote company.  * Competitive compensation & meaningful equity. * Outsized responsibilities & professional development. * Training is foundational; functional, customer immersion, and development training. * Medical, dental, and vision insurance (exact benefits vary by region). * Unlimited paid time off, with a required minimum of 20 days per year. * Paid parental leave (exact benefits vary by region). * Flexible stipends to support your workspace, well-being, and continued professional development. * Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. ON BEING REMOTE We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. EQUAL OPPORTUNITY EMPLOYMENT Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-VERIFY NOTICE Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non- Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Own agent reasoning, prompts, behavioral quality, and evaluation systems while partnering with teams to deliver reliable AI for industrial operations. | Requires applied AI, machine learning, or software engineering experience with LLMs or autonomous workflows, strong written communication, and the ability to turn complex domain problems into technical experiments. | ABOUT PHAIDRA Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: * We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. * We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. * We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India. WHO YOU ARE We are looking for an AI Research Engineer to help build the cognitive and behavioral layer of Phaidra’s agents. You sit at the intersection of applied AI research, software engineering, industrial domain reasoning, and product judgment. You understand that high-performing industrial agents are not just LLM wrappers. They require rigorous reasoning frameworks, well-designed tool use, grounded context, behavioral evaluations, and continuous alignment with real operational needs. You care about how agents think, communicate, prioritize, ask for clarification, escalate uncertainty, and turn facility context into useful decisions. You will help define how Phaidra’s agents behave wherever they meet customers, be it Phaidra Prism, Slack/Teams agents, and future autonomous control and field-support workflows. You will design prompts, guardrails, agent evaluation systems, reasoning patterns, and feedback loops that ensure our agents remain useful, reliable, interpretable, and aligned with user intent. **We are seeking teammates who are based in the UK or North America (Eastern timezone) RESPONSIBILITIES You will own key parts of the research, behavioral quality, and applied intelligence layer of Phaidra’s agentic products. This includes agent reasoning patterns, personalities, prompts, guardrails, evaluation systems, domain-informed behavior, and the feedback loops used to improve agent performance over time. In particular, you will: * Design and improve agent reasoning frameworks that help Phaidra’s agents solve complex industrial problems using tools, telemetry, ontology, historical context, and domain logic. * Define and maintain agent personalities, communication patterns, behavioral boundaries, and escalation rules across Phaidra’s agent portfolio. * Develop prompts, system instructions, tool-use policies, and execution loops that help agents act consistently and effectively in industrial contexts. * Build and maintain agent evaluations that measure behavioral quality, domain correctness, user usefulness, safety, hallucination risk, tool-use reliability, and alignment with business requirements. * Translate subject-matter expertise into reusable reasoning patterns, decision frameworks, eval rubrics, and behavioral tests. * Analyze production interactions, user feedback, telemetry, and qualitative signals to identify where agents are succeeding, drifting, or failing. * Partner with Agent Reasoning, Ontology, AI Platform, Product, Solutions, and customer-facing teams to improve agent reliability and usefulness. * Help agents reason over derived tags, operational math, alarms, recommendations, facility context, and customer-specific constraints. * Track state-of-the-art developments in agentic AI, evaluation methods, prompting, tool use, behavioral assurance, and domain-specialized LLM systems. * Contribute to Phaidra’s broader agent strategy by ensuring our agents are not only technically capable, but trustworthy, interpretable, and valuable to users. KEY QUALIFICATIONS * Strong applied AI, machine learning, data science, research engineering, or software engineering background. * Experience working with LLMs, agents, copilots, autonomous workflows, or other AI systems that reason over tools and context. * Ability to translate ambiguous product and domain problems into concrete experiments, prototypes, evals, and production improvements. * Experience evaluating model or agent outputs using qualitative and quantitative methods. * Strong product judgment: you understand what makes an AI system actually useful to users, not merely technically impressive. * Excellent written communication skills, with an ability to craft precise instructions, behavioral guidelines, research notes, and evaluation criteria. * Comfortable collaborating across engineering, product, domain experts, and customer-facing teams. * Ability to reason about ambiguity, uncertainty, edge cases, and failure modes in AI systems. * Good working knowledge of Python. * Shares Phaidra’s company values: Agency, Velocity, Craft, Truth PREFERRED EXPERIENCE & SKILLS * Experience designing or evaluating LLM agents, tool-using AI systems, prompt systems, guardrails, eval harnesses, red-teaming, or behavioral QA. * Experience with HVAC, datacenter operations, EPMS, BMS/BAS, industrial controls, alarm triage, or root-cause analysis. * Experience with time-series analysis, anomaly detection, derived tags, operational math, symbolic reasoning, or model-informed decision-making. * Experience with RAG systems, knowledge graphs, ontologies, semantic retrieval, or context engineering for AI agents. * Experience building dashboards, evaluation datasets, labeling workflows, or feedback loops for AI products. * Familiarity with agent frameworks, MCP/tool interfaces, LLM observability, or production AI infrastructure. * Track record of turning research ideas into reliable product capabilities. RELEVANT TECHNOLOGIES FROM OUR STACK * Python, Go * LLMs, agent frameworks, prompts, guardrails, and eval tooling * Time-series and operational data systems * Postgres, MongoDB, Parquet * REST and gRPC microservices * Docker, Kubernetes, Terraform, Kapitan * GCP — GKE, Pub/Sub, CloudSQL, Bigtable * Grafana Cloud, Prometheus * GitLab CI, ArgoCD, Atlantis * Internal agent runtime, tool registries, ontology/context systems, and evaluation workflows ONBOARDING In your first 30 days… * You will learn Phaidra’s product, customer environments, and agent portfolio. * You will review the current architecture of our agents. * You will study existing prompts, guardrails, evals, user feedback, and known behavioral failure modes. * You will meet partners across Agents, Product, AI Platform, Solutions, Engineering, and Data Science. * You will shadow real or representative agent workflows involving operational insights, alarms, recommendations, or user interactions. In your first 60 days… * You will have a solid understanding of how Phaidra’s agents reason, communicate, and use tools today. * You will ship your first meaningful improvement to an agent prompt, reasoning pattern, eval, or feedback workflow. * You will identify key behavioral risks, drift patterns, or quality gaps in one or more agents. * You will begin defining standards for agent tone, uncertainty handling, escalation, domain reasoning, and evaluation quality. In your first 90 days… * You will independently own a behavioral improvement or evaluation initiative for a production agent. * You will have established a repeatable process for measuring and improving agent quality. * You will help define the AI research and behavioral assurance roadmap for the Agents Team. * You will become a trusted internal voice on whether agents are reasoning correctly, behaving usefully, and operating safely. GENERAL INTERVIEW PROCESS All of our interviews are held via Google Meet, and an active camera connection is required. * Meeting with Operations (30 minutes) — Meet you, learn about your background, discuss what you're looking for, and cover formalities around your application. * Hiring Manager interview (30 minutes) — An introduction call with the hiring manager focused on your previous experience, technical background, and interest in Phaidra’s agentic systems. * Agent Reasoning & Behavior Interview (75 minutes) — A working session where you evaluate an agent interaction, identify reasoning or behavioral issues, and propose improvements to tool use, communication, or escalation. * LLM Platform Engineering & Evals Interview (60 minutes) — A discussion of how you would design experiments, build evals, analyze production behavior, work with the agent runtime and context pipelines, and turn research ideas into reliable product improvements. * Culture fit interview with Phaidra's co-founders (30 minutes) — Alignment with Phaidra's values and mutual cultural fit. We use Kula as our hiring platform. During your interview, Kula's AI Notetaker will record a transcript of the meeting to allow the interviewer to focus on the interview, not the note taking. BASE SALARY US Residents: * Tier 1 (Largest highest-cost metros): 150,430 USD - 240,688 USD * Tier 2 (Other major metros): 142,909 USD - 228,654USD * Tier 3 (Mid-sized metro areas): 135,387 USD - 216,619 USD * Tier 4 (All other locations): 127,866 USD - 204,585 USD Canada Residents  * Tier 1 (Vancouver, Toronto): 152,311 CAD - 243,697 CAD * Tier 2 (Montreal): 142,156 CAD - 227,450 CAD * Tier 3 (Waterloo, Ottawa, Calgary): 121,848 CAD - 194,957 CAD * Tier 4 (Smaller cities / rural areas): 111,694 CAD - 178,711 CAD UK Residents  * Tier 1 (London): 101,014 GBP - 168,356 GBP * Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 95,072 GBP - 158,453 GBP * Tier 3 (Smaller cities / rural areas): 89,130 GBP - 148,550 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate’s qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. BENEFITS & PERKS * Fast-paced, team-oriented environment where your work directly shapes the company’s direction. * We are a 100% remote company.  * Competitive compensation & meaningful equity. * Outsized responsibilities & professional development. * Training is foundational; functional, customer immersion, and development training. * Medical, dental, and vision insurance (exact benefits vary by region). * Unlimited paid time off, with a required minimum of 20 days per year. * Paid parental leave (exact benefits vary by region). * Flexible stipends to support your workspace, well-being, and continued professional development. * Company MacBook. Please note: Not all of Phaidra’s benefits and perks listed above apply to temporary employees such as interns. ON BEING REMOTE We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie. EQUAL OPPORTUNITY EMPLOYMENT Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at hiring@phaidra.ai. E-VERIFY NOTICE Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. Candidates who advance beyond the initial screening stage will be required to sign a Non- Disclosure Agreement (NDA) in order to continue through the interview process. All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.