Next Step Systems

Lead senior engineering team to integrate AI into scalable, reliable applications across platforms. | Significant experience leading complex application engineering and delivering AI-powered products with strong system design skills. | Job Description Technical Lead, Applications, Artificial Intelligence (AI) Required, Work From Home As the Technical Lead, Applications, you directly own the core application architecture that connects AI systems to real-world user experiences. You will be responsible for the design, reliability, and evolution of backend services, APIs, and client integrations across mobile and desktop. This is a hands-on leadership role. You will stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales. This position is 100% Remote. Technical Lead Responsibilities: - Own the application engineering strategy and execution across backend, mobile, and desktop. - Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers. - Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling. - Set the architectural direction for AI-powered product workflows, APIs, and client integrations. - Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes. - Partner closely with Machine Learning (ML) leadership to translate model capability into shippable product features. - Make high-impact decisions across latency, cost, reliability, security, and user experience. - Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership. - Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls. - Balance speed and discipline, shipping quickly without compromising long-term system quality. Technical Lead Outcomes: - Production systems are observable, monitored, and stable under real-world load. - Decisions consistently balance speed, cost, reliability, and user experience. - Features across backend, mobile, and desktop work smoothly and reliably. - Latency and reliability improve measurably over time. Qualifications Technical Lead Qualifications: - Significant experience leading application or product engineering for complex systems. - Artificial Intelligence (AI) experience required. - Strong hands-on background building and shipping backend systems used in production. - Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs. - Excellent system design skills across services, APIs, clients, and data flows. - Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one. - Proven ability to make high-impact technical decisions under ambiguity. - A strong bias toward shipping, iteration, and learning from real-world usage. - Move fast without breaking fundamentals. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Technical Lead, Applications, AI, APIs, Artificial Intelligence, Backend, Desktops, Mobile, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Technical Lead in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Technical Leads for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.nextstepsystems.com. Compensation: USD 180000 - USD 200000 - yearly

Lead design and delivery of production-grade AI systems and orchestration layers, driving engineering decisions and mentoring engineers. | Strong backend or AI engineering experience with distributed systems and proficiency in Python, Node.js, Docker, and Kubernetes. | Job Description Lead AI Engineer, Work From Home We are looking for a Lead AI Engineer to own the design, development, and delivery of production AI systems across our backend and workflow automation stack. The Lead AI Engineer role sits at the core of the AI platform, where model capabilities are translated into reliable, scalable, and production-grade systems that directly impact real users and business outcomes. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote. Lead AI Engineer Responsibilities: - Lead the design and development of production AI systems powering insurance workflow automation. - Architect AI orchestration layers connecting LLMs, backend services, and business workflows. - Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. - Drive engineering decisions around latency, reliability, cost, and scalability of AI services. - Lead implementation of Observability Systems (logging, monitoring, tracing, alerting). - Review and guide backend AI implementation across engineering teams. - Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. - Debug complex production issues across distributed AI systems and lead root-cause analysis. - Define engineering standards and best practices for AI system development. - Mentor engineers and elevate technical execution quality across teams. Lead AI Engineer Outcomes: - AI systems operate reliably at scale with strong performance and low latency. - AI workflows are stable, observable, and production-grade across multiple products. - System architecture supports rapid iteration without compromising reliability. - Production incidents are quickly identified, resolved, and prevented. - Engineering teams execute faster and with higher technical quality under your leadership. - AI capabilities are deeply integrated into global insurance workflows. Qualifications Lead AI Engineer Qualifications: - Strong backend or AI engineering experience in production environments. - Experience building or scaling AI systems (LLMs, embeddings, recommendation systems, or automation workflows). - Strong system design skills with experience in distributed systems. - Experience with production inference pipelines and AI orchestration. - Strong debugging ability in high-scale, latency-sensitive environments. - Experience with observability, monitoring, and incident response. - Proven ability to lead technical execution in cross-functional teams. - Strong ownership mindset and ability to drive projects end-to-end. - Comfortable working in fast-paced, globally distributed teams. - Tech Stack: Anthropic, Distributed Systems Tools, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Stack (Logging, Metrics, Tracing), OpenAI, Open-Source Models, Python, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Lead AI Engineer, Anthropic, Distributed Systems Tools, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Stack (Logging, Metrics, Tracing), OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Lead AI Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Lead AI Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.nextstepsystems.com. Compensation: USD 160000 - USD 225000 - yearly

Build and operate scalable backend systems and orchestration layers that power AI-driven workflows with a focus on performance and reliability. | Strong backend engineering experience with production systems, familiarity with AI systems, LLMs, and distributed systems tooling. | Job Description AI Backend Engineer, Work From Home We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote. AI Backend Engineer Responsibilities: - Build and operate backend systems that serve AI-powered insurance workflows in production. - Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. - Build inference pipelines for LLM-based and AI-assisted automation systems. - Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). - Design stable service boundaries between backend systems, ML components, and product APIs. - Implement observability: logging, metrics, tracing, alerting, and incident response workflows. - Debug production issues across distributed AI systems and resolve root causes. - Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. - Continuously improve system reliability, scalability, and performance. AI Backend Engineer Outcomes: - AI backend systems run reliably at scale with low latency and high availability. - AI workflows are stable, observable, and production-ready across multiple products. - System performance improves continuously through real-world feedback and optimization. - Production incidents are quickly detected, diagnosed, and resolved. - AI capabilities are seamlessly integrated into global customer and internal workflows. Qualifications AI Backend Engineer Qualifications: - Strong backend engineering experience in production systems. - Experience building or operating high-throughput, low-latency services. - Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows). - Experience with distributed systems and production debugging. - Strong understanding of APIs, data flows, and system design principles. - Experience with observability tools (logging, monitoring, tracing). - Strong ownership mindset and bias toward shipping. - Comfortable working in fast-paced, globally distributed teams. - Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.nextstepsystems.com. Compensation: USD 140000 - USD 200000 - yearly

Build and operate backend AI systems ensuring reliability, scalability, and integration with AI models and workflows. | Strong backend engineering experience with distributed systems, observability tools, and familiarity with AI systems and APIs. | AI Backend Engineer, Work From Home We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote. AI Backend Engineer Responsibilities: - Build and operate backend systems that serve AI-powered insurance workflows in production. - Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. - Build inference pipelines for LLM-based and AI-assisted automation systems. - Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). - Design stable service boundaries between backend systems, ML components, and product APIs. - Implement observability: logging, metrics, tracing, alerting, and incident response workflows. - Debug production issues across distributed AI systems and resolve root causes. - Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. - Continuously improve system reliability, scalability, and performance. AI Backend Engineer Outcomes: - AI backend systems run reliably at scale with low latency and high availability. - AI workflows are stable, observable, and production-ready across multiple products. - System performance improves continuously through real-world feedback and optimization. - Production incidents are quickly detected, diagnosed, and resolved. - AI capabilities are seamlessly integrated into global customer and internal workflows. AI Backend Engineer Qualifications: - Strong backend engineering experience in production systems. - Experience building or operating high-throughput, low-latency services. - Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows). - Experience with distributed systems and production debugging. - Strong understanding of APIs, data flows, and system design principles. - Experience with observability tools (logging, monitoring, tracing). - Strong ownership mindset and bias toward shipping. - Comfortable working in fast-paced, globally distributed teams. - Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!

Oversee and maintain trading systems with automation and operational support in a fully remote environment. | Experience with Windows Server, Active Directory, Python scripting, Linux, networking, and endpoint management in production environments. | Trading Systems & Automation Engineer, Work From Home, Trading Systems Required We are seeking a talented and motivated Trading Systems & Automation Engineer to join the trading team. This position is 100% Remote. Trading Systems & Automation Engineer Responsibilities: - Oversee the operation and maintenance of the trading systems, guaranteeing continuity and stability in a production trading environment. - Design, build, and maintain Python-based automation to support operational tooling, monitoring, dashboards, and deployment workflows. - Administer and support Windows systems, including configuration management, patching, performance tuning, and incident response. - Manage identity, endpoint, and access platforms across the Microsoft ecosystem, including Microsoft 365, Entra ID, Intune, and related services. - Troubleshoot and resolve issues across systems, applications, and core networking components in a multi-platform environment. - Support operational security initiatives such as system hardening, vulnerability remediation, and continuous monitoring. - On call coverage in a team rotation. Trading Systems & Automation Engineer Qualifications: - Bachelor s or Associate s degree preferably in a technical area such as computer science or engineering. - Experience administering Windows Server and Windows 11 in a production environment. - Hands-on knowledge of Active Directory and Group Policy, including Active Director architecture, user, device, and policy management. - Proficiency administering Linux systems for operational and troubleshooting purposes. - Working knowledge of networking fundamentals, including DNS, HTTP/S, TCP/IP, and related protocols. - Experience writing Python scripts to automate operational tasks and improve system reliability. - Familiarity with identity, access, and endpoint management concepts and tools. - Ability to work independently, manage priorities, and own projects end-to-end. - Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Benefits include medical, dental, vision spending account, health savings account, 50K life insurance policy, short-term/long-term disability insurance, employee assistance program, 401K, tuition reimbursement, etc. Keywords: Chicago IL Jobs, Trading Systems & Automation Engineer, Windows Server, Windows 11, Active Directory, Group Policy, DNS, HTTP, HTTPS, TCP/IP, Python, Network, Networking, Endpoint Management, Trading, Financial, Work From Home, Remote, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting Looking to hire a Trading Systems & Automation Engineer in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Trading Systems & Automation Engineers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!

Drive new business growth and manage complex enterprise sales cycles using a consultative approach and collaborate with cross-functional teams. | 7+ years enterprise SaaS sales experience, proven track record closing 6-figure deals, MEDDPICC framework expertise, ability to engage C-level executives, and willingness to work hybrid if near Dallas. | SaaS Enterprise Account Executive, MEDDPICC Framework Required - Work From Home As an Enterprise Account Executive, you will play a key role in rapidly expanding business with existing, high potential customers and acquiring new customers. Being a master of the entire sales process, you will use your creative prospecting skills to broaden our reach with existing customers and gain access to customers who are not currently working with us but should be. You will work through complex, strategic sales cycles to deliver outcomes for our customers. If you are an out-of-the-box thinker, insatiably curious and relentlessly driven to win, join us! You will play a critical role in driving our company s growth, helping our customers build the tech talent they need to tackle their biggest business priorities and accelerate your personal career growth. MEDDPICC Framework experience is required. This position is 100% Remote. However, applicants located within 45 miles of Westlake/Dallas, TX offices, should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. SaaS Enterprise Account Executive Responsibilities: - Hunt and drive new business growth within a territory of white space accounts and accounts with existing spend, from lead generation to closing, while positioning yourself as a trusted, consultative advisor. - Develop tailored territory and account plans that maximize your revenue production. - Research and understand your customer s business objectives, technology priorities and talent initiatives. Align and communicate the companies value proposition and ensuring we become their strategic tech skills development partner. - Master and consistently apply the company sales framework to ensure successful outcomes. - Partner and collaborate with other functional teams such as business development reps, customer success reps, field marketing, product teams and sales engineers. - Own and successfully lead through the entire complex sales cycles and buying processes within large enterprise accounts. - Travel and get in front of customers whenever possible to advance our mutual partnership and sales cycles. SaaS Enterprise Account Executive Qualifications: - 7+ years of relevant sales experience, preferably selling a complex SaaS solution to enterprise clients requiring a multi-threaded approach. - Track record of overachieving revenue targets of 1M+ and successfully navigating and closing six figure deals ($200k+) in complex sales cycles. - Experience selling to senior leaders such as the C-Suite, technology executives, talent leaders, and other key stakeholders within large enterprise organizations. - Hunter skills with a passion for and demonstrated success in securing new logos. Expertise in business development, heavy prospecting, building and managing pipeline. - Proven experience utilizing MEDDPICC or a similarly effective value-based selling framework to address complex customer needs in enterprise sales is required. - Previous SaaS and enterprise software experience. - Edtech experience is a plus. - Exceptional written and verbal communication skills, with the ability to simplify complex concepts and present them in an approachable and engaging way. - Ability to engage and communicate with executive level stakeholders. - This is a remote role; however, applicants located within 45 miles of Westlake/Dallas, TX offices should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. - Travel expectations differ by role. Some sales positions involve limited travel, while others may involve travel of up to 30%, depending on business needs. Benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, professional development funds and more. Keywords: Dallas TX Jobs, SaaS Enterprise Account Executive, Software as a Service, SaaS, Sales, Enterprise Sales, Business Development, Account Executive, Sales Representative, MEDDPICC, Edtech, Hybrid, Remote, Work From Home, Texas Recruiters, IT Jobs, Texas Recruiting Looking to hire a SaaS Enterprise Account Executive in Dallas, TX or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire SaaS Enterprise Account Executives for jobs in Dallas, Texas and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!

Lead the migration from SharePoint 2010 to Office 365 cloud and manage Microsoft 365 systems administration. | Must have all three Microsoft 365 certifications and experience with SharePoint migration; position is fully remote and contract-based. | Microsoft Systems Administrator, 6 to 12 Month Contract Position - Work From Home We are currently looking for Microsoft Systems Administrator for a great opportunity in Santa Clara, CA. Candidates must be Microsoft 365 Certified: Enterprise Administrator Expert, Microsoft 365 Certified: Teams Administrator Associate, AND Microsoft Certified: SharePoint Administrator. All 3 certifications are required. This is a 6 to 12 month contract. This position is 100% Remote. Microsoft Systems Administrator Responsibilities: - Play a key role in the migration from SharePoint 2010 to the cloud version of Office 365. Microsoft Systems Administrator Qualifications: - Microsoft 365 Certified: Enterprise Administrator Expert certification is required. - Microsoft 365 Certified: Teams Administrator Associate certification is required. - Microsoft Certified: SharePoint Administrator certification is required. No benefits since this is a contract position. Keywords: Santa Clara CA Jobs, Microsoft Systems Administrator, Microsoft 365 Certified Enterprise Administrator Expert Certification, Microsoft 365 Certified: Teams Administrator Associate Certification, Microsoft Certified: SharePoint Administrator Certification, SharePoint 2010, Microsoft 365, Intranet, Remote, Work From Home, California Recruiters, IT Jobs, California Recruiting Looking to hire a Microsoft Systems Administrator in Santa Clara, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Microsoft Systems Administrators for jobs in Santa Clara, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!