Beacon AI

Design, implement, and maintain backend services, APIs, and data pipelines to support a flight safety platform. | Requires 2+ years backend experience with Python or Node.js and familiarity with APIs and databases. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking a Backend Software Engineer to join our team and help build the backend systems that power our flight safety platform. In this role, you will work closely with senior engineers and product partners to design, build, and maintain backend services, APIs, and data pipelines. You’ll contribute to production systems, grow your backend engineering skills, and play a meaningful role in supporting mission-critical, real-world applications. What You’ll Do Design, implement, and maintain backend services and APIs used by web and mobile applications. Work with senior engineers to build reliable, scalable backend systems in production environments. Integrate with internal and external data sources, including real-time and batch data pipelines. Collaborate with product managers and cross-functional partners to deliver backend features that support user-facing functionality. Participate in code reviews and follow established backend best practices and architectural patterns. Help ensure system reliability, performance, and maintainability through testing, monitoring, and documentation. What Will Make You Successful 2+ years of experience building backend systems, or equivalent experience through internships, projects, or coursework. Experience with at least one modern backend language such as Python or JavaScript/TypeScript (Node.js). Familiarity with designing or consuming APIs and working with databases or data stores. Exposure to production environments and an understanding of reliability, performance, and security fundamentals. Strong problem-solving skills and eagerness to learn from feedback and mentorship. Ability to work effectively in a collaborative, fast-moving environment. Bonus Points Passion for aviation and a desire to improve air travel efficiency and safety. Exposure to data pipelines, real-time data systems, or distributed systems concepts. Interest in machine learning, data-intensive systems, or large-scale data processing. Familiarity with cloud platforms, CI/CD workflows, or DevOps concepts. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) Healthcare: 100%* of employee medical premiums covered; 25% for dependents Time Off: 3 weeks PTO plus 13+ paid company holidays Stipends: Monthly phone and wellness benefits 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

Lead development of React-based web interfaces and mentor engineers while collaborating on scalable frontend systems. | 5+ years building high-performance web apps with React and TypeScript, strong ownership, and U.S. Person status. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking a Lead Frontend Engineer to bring technical leadership, strong ownership, and strategic thinking to our frontend team. In this role, you will drive the development of high-impact web interfaces that integrate with our flight safety platform, enabling users to interact with complex aviation data and derive actionable insights. You will collaborate closely across disciplines and play a key role in advancing aviation safety and operational capability. What You’ll Do Design and implement React-based features while architecting frontend systems that handle large-scale, real-time and historical aviation data. Integrate, process, and visualize data from multiple sources, including live streams and archived datasets. Mentor engineers and drive best practices through code reviews and architectural discussions. Partner with backend engineers, product managers, and UX/UI designers to make informed design and implementation decisions. Ensure reliable, maintainable frontend systems through automated testing, clear documentation, and strong engineering standards. Build reusable components and internal libraries to accelerate future development. What Will Make You Successful 5+ years of experience building and shipping high-performance, user-facing web applications. Deep expertise in React, TypeScript, JavaScript, state management, and modern web standards (HTML/CSS). Strong experience with asynchronous frontend patterns and efficient handling of live and historical data streams. Proven ownership of complex features or product areas, driving work from concept through delivery with a high degree of autonomy. Proactive, resourceful mindset with the ability to operate effectively in fast-moving, ambiguous environments. Consistently sets and upholds a high technical bar through design decisions, code quality, mentorship, and hiring input. Ability to analyze and optimize frontend performance for scalability, responsiveness, and reliability. Bonus Points Passion for aviation and a desire to improve air travel efficiency and safety. Experience with geospatial or mapping tools such as Mapbox or Cesium. Deep experience with live data streaming and playback systems. Experience with video streaming technologies and real-time media delivery. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) Healthcare: 100%* of employee medical premiums covered; 25% for dependents Time Off: 3 weeks PTO plus 13+ paid company holidays Stipends: Monthly phone and wellness benefits 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

Design and scale backend services and data pipelines for a critical flight safety platform. | 5+ years backend and distributed systems experience with Python and Node.js, strong ownership mindset. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking a Lead Backend Software Engineer to design, build, and scale the backend systems that power our flight safety platform. In this role, you will take ownership of backend services, APIs, and data pipelines, balancing hands-on development with technical leadership. You’ll work closely with product and cross-functional teams to deliver reliable, secure, and scalable systems that support mission-critical, real-world applications. What You’ll Do Architect, build, and maintain backend services and distributed systems that support mission-critical applications. Design and implement secure, scalable APIs for internal and external integrations, including real-time data streaming and support for web and mobile clients. Build and optimize data pipelines for efficient ingestion, processing, and access to time-series and multimedia data. Own backend system reliability, performance, and scalability in production environments. Lead technical design discussions and contribute to code reviews and architectural decisions. Troubleshoot and resolve complex backend and cloud infrastructure issues to ensure high availability. Take ownership of backend features or systems from concept through delivery, working closely with product and cross-functional partners. What Will Make You Successful 5+ years of experience designing and implementing backend services, APIs, and distributed systems in production environments. Fluency in modern backend languages such as Python and JavaScript/TypeScript (Node.js). Proven experience building, scaling, and operating backend infrastructure. Strong ownership mindset, with experience driving end-to-end systems and features from design through deployment. Ability to operate effectively in evolving environments while maintaining high standards for quality and reliability. Experience building or working with data pipelines and backend systems handling large-scale or real-time data. Bonus Points Passion for aviation and a desire to improve air travel efficiency and safety. Familiarity with machine learning workflows or data-intensive systems. Experience working with big data tools or large-scale data processing frameworks. Background in DevOps or DevSecOps, including automating infrastructure and improving system reliability and security. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) Healthcare: 100%* of employee medical premiums covered; 25% for dependents Time Off: 3 weeks PTO plus 13+ paid company holidays Stipends: Monthly phone and wellness benefits 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

Design and implement React-based frontend features and collaborate with teams to build maintainable systems. | Requires 2+ years frontend experience with React and TypeScript, and U.S. Person status. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking a Frontend Web App Engineer to join our team and help build high-impact web interfaces that integrate with our flight safety platform. In this role, you will work closely with senior engineers, product managers, and designers to develop user-facing features that enable interaction with complex aviation data. You’ll contribute to production systems, grow your technical skills, and play a meaningful role in advancing flight safety and operational efficiency. What You’ll Do Design and implement React-based features for web applications that work with real-time and historical aviation data. Integrate, process, and visualize data from multiple sources, including live streams and archived datasets. Collaborate with backend engineers, product managers, and UX/UI designers on feature design and implementation. Contribute to code reviews and follow established frontend best practices and architectural patterns. Help ensure frontend systems are reliable and maintainable through testing and documentation. Contribute to reusable components and shared frontend libraries. What Will Make You Successful 2+ years of experience building user-facing web applications, or equivalent experience through internships, projects, or coursework. Experience with React, TypeScript, JavaScript, state management, and modern web standards (HTML/CSS). Familiarity with asynchronous frontend patterns and working with APIs or data streams. Strong problem-solving skills and eagerness to learn from feedback and mentorship. Ability to work effectively in a collaborative, fast-moving environment. Attention to code quality, performance, and maintainability. Bonus Points Passion for aviation and a desire to improve air travel efficiency and safety. Experience with mapping or geospatial tools such as Mapbox or Cesium. Exposure to live data or video streaming concepts. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) Healthcare: 100%* of employee medical premiums covered; 25% for dependents Time Off: 3 weeks PTO plus 13+ paid company holidays Stipends: Monthly phone and wellness benefits 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

Design and maintain scalable AWS cloud infrastructure and LLM platforms for AI-driven aviation systems. | Requires deep AWS, Python, LLM application deployment, and security expertise with full lifecycle ownership. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We are seeking skilled Cloud and ML Infrastructure Engineers to lead the buildout of our AWS foundation and our LLM platform. You will design, implement, and operate services that are scalable, reliable, and secure. The broad scope means focus areas in LLM/ML Infra and IoT infra are strong bonus points. For ML Infra, build the stack that powers retrieval-augmented generation and application workflows built with frameworks like LangChain. Experience with IoT AWS services is a plus. You will work closely with other engineers and product management. The ideal candidate is hands-on, comfortable with ambiguity, and excited to build from first principles. Key Responsibilities Cloud Infrastructure Setup and Maintenance Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform. Build CI/CD and testing for apps, infra, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline. Operate secure networking with VPCs, PrivateLink, and VPC endpoints. Manage IAM, KMS, Secrets Manager, and audit logging. LLM Platform and Runtime Stand up and operate model endpoints using AWS Bedrock and/or SageMaker; evaluate when to use ECS/EKS, Lambda, or Batch for inference jobs. Build and maintain application services that call LLMs through clean APIs, with streaming, batching, and backoff strategies. Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling. RAG Data Systems and Vector Search Design chunking and embedding pipelines for documents, time series, and multimedia. Orchestrate with Step Functions or Airflow. Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone. Tune recall, latency, and cost. Build and maintain knowledge bases and data syncs from S3, Aurora, DynamoDB, and external sources. Evaluation, Observability, and Cost Governance Create offline and online eval harnesses for prompts, retrievers, and chains. Track quality, latency, and regression risk. Instrument model and app telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts. Add guardrails, rate limits, fallbacks, and provider routing for resilience. Safety, Privacy, and Compliance Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review where needed. Use Bedrock Guardrails or policy services to enforce safety standards. Maintain audit trails for regulated environments. Data Pipeline Construction Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Ensure integrity, lineage, and cataloging with Glue and Lake Formation. Optimize bulk data movement and storage in S3, Glacier, and tiered storage. Use Athena for ad-hoc analysis. IoT Deployment Management Manage infrastructure that deploys to and communicates with edge devices. Support secure messaging, identity, and over-the-air updates. Analytics and Application Support Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features. Provide expert troubleshooting for cloud and ML services with an emphasis on uptime and performance. Performance Optimization Tune retrieval quality, context window use, and caching with Redis or Bedrock Knowledge Bases. Optimize inference with model selection, quantization where applicable, GPU/CPU instance choices, and autoscaling strategies. What Will Make You Successful End-to-End Ownership: Drives work from design through production, including on-call and continuous improvement. LLM Systems Experience: Shipped or operated LLM-powered applications in production. Familiar with RAG design, prompt versioning, and chain orchestration using LangChain or similar. AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker. Data Engineering Skills: Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event-driven patterns using EventBridge and SQS. Security Mindset: Applies least privilege, secrets management, network isolation, and compliance practices appropriate to sensitive data. Evaluation and Metrics: Uses quantitative evals, A/B testing, and live metrics to guide improvements. Clear Communication: Explains tradeoffs and aligns partners across product, security, and application engineering. Bonus Points 4+ years working with serverless or container platforms on AWS. Experience with vector databases, OpenSearch, or pgvector at scale. Hands-on with Bedrock Guardrails, Knowledge Bases, or custom policy engines. Familiarity with GPU workloads, Triton Inference Server, or TensorRT-LLM. Experience with big data tools for large-scale processing and search. Background in aviation data or other safety-critical domains. DevOps or DevSecOps experience automating CI/CD for ML and app services. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) Healthcare: 100%* of employee medical premiums covered; 25% for dependents Time Off: 3 weeks PTO plus 13+ paid company holidays Stipends: Monthly phone and wellness benefits 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

Lead cross-functional initiatives to improve business operations and drive company priorities. | Strong operational leadership, excellent communication, ability to manage complex projects and collaborate across teams. | About Beacon AI We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation. Role Overview We’re looking for a Business Operations leader who can operate across strategy and execution. This is a high-trust role: you will help drive company priorities, keep complex efforts moving, and raise the quality bar on how we communicate and operate. You will work directly with leadership and partner closely with engineering, product, and external stakeholders. This role is ideal for someone who is sharp, driven, comfortable in ambiguity, and excited to build the operating system of a fast-moving company. What You’ll Do • Drive critical initiatives end-to-end: define the plan, align stakeholders, manage execution, and ensure outcomes. • Company strategy support: build crisp analyses, frame decisions, and help leadership prioritize and communicate direction. Partnerships and external relationships: support deal conversations, coordinate cross-functional follow-through, and help structure/track partnerships. • Legal and contracts support: manage contract workflows, coordinate with counsel, and keep terms, timelines, and stakeholders organized (not acting as the attorney, but making the process efficient and correct). • Team building and special projects: help stand up new functions and processes, support hiring efforts, and lead “whatever it takes” projects that unblock the team. Operations and facilities: help ensure the office and day-to-day business operations run smoothly as we scale. • Executive communication: create high-quality decks, memos, and briefings for internal and external audiences. What We’re Looking For • You’re a high-horsepower operator who can lead discussions, run a workstream, and bring structure to messy problems. • Excellent communicator (written and verbal). You can turn complex topics into clear, compelling storylines. • You can produce high-quality presentations quickly, and you care about polish and accuracy. • You’re comfortable shifting between high-level strategy and hands-on execution. • You build trust across functions, keep momentum, and know when to pull in experts to move faster. Ideal Background (not Required) We’re open-minded on exact paths, but this role often fits candidates with some combination of: • Military leadership experience • Top-tier MBA • MBB or similar consulting background • Experience in defense, aerospace, aviation, or other high-stakes operational environments Bonus points • You’ve lived through at least one “pls fix” slide-fix chapter and came out stronger. • Prior security clearance or experience working in cleared environments. Why this role matters You’ll be a highly visible force multiplier for the company. If you’re the kind of person who sees what needs to happen, makes a plan, pulls the right people in, and gets it done with excellent communication, you’ll have a real impact here. Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days. Perks & Benefits (Full-Time Employees) • Healthcare: 100%* of employee medical premiums covered; 25% for dependents • Time Off: 3 weeks PTO plus 13+ paid company holidays • Stipends: Monthly phone and wellness benefits • 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future). Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.