Next Step Systems

Build and ship AI-native full stack product features with reliable multi-step agent workflows and integrations. | Strong full stack engineering experience with AI systems, LLMs, API architecture, and ability to deliver production-grade features. | Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. This position is 100% Remote. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Full Stack Engineer Responsibilities: - Build end-to-end product features across frontend, backend, and AI integrations. - Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps. - Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions. - Design real-time AI interactions with streaming, partial results, and tight latency constraints. - Improve system reliability, observability, and fallback mechanisms. - Collaborate closely with ML, backend, and product teams to ship features end-to-end. - Continuously iterate based on real usage and failure modes. Full Stack Engineer Outcomes: - Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows. - Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions. - Reduce latency and improve responsiveness of AI interactions while maintaining output quality. - Build robust fallback and recovery mechanisms for LLM and tool failures in production environments. - Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring. - Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems. - Contribute to a product experience where AI feels proactive, consistent, and dependable over time. Full Stack Engineer Qualifications: - Strong experience in Full Stack Engineering (Frontend and Backend). - Artificial Intelligence (AI) experience required. - Solid understanding of system design and API architecture. - Experience working with LLMs, RAG systems, or AI-powered applications. - Ability to handle ambiguity and make pragmatic engineering decisions. - Strong ownership; able to take features from idea to production. - Comfort working in fast-moving environments with evolving requirements. - Tech Stack: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Full Stack Engineer, AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, SQL, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Full Stack 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 Full Stack Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!

Lead engineering for AI email applications, shaping architecture and managing a senior team while ensuring system reliability and scalability. | Must have AI experience, strong backend and leadership skills, and ability to build AI-powered products with hands-on coding. | Job Description Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home As the Engineering Lead, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (AI) capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers. This is a hands-on leadership role. You 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. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Engineering Lead Responsibilities: - Own the application engineering strategy and execution across backend, mobile, and desktop. - Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling. - Build the APIs and abstractions that connect Artificial Intelligence (AI) systems to real-world product experiences. - Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship. - Make high-impact trade-offs across latency, reliability, cost, security, and user experience. - Establish strong production foundations: observability, monitoring, testing, and operational excellence. - Partner closely with Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences. - Move quickly while keeping the architecture simple, maintainable, and ready to scale. Engineering 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 Engineering Lead Qualifications: - Artificial Intelligence (AI) experience is required. - Significant experience leading application or product engineering for complex systems. - Strong hands-on background building and shipping backend systems used in production. - Experience building AI-powered products or systems that integrate with modern Machine Learning (ML)/Large Language Model (LLM) capabilities. - Strong technical judgment and the ability to make decisions with incomplete information. - Comfortable working across backend and client platforms, with deep expertise in at least one. - A strong bias toward ownership, shipping, and learning from real-world usage. - High standards for code quality, reliability, and engineering fundamentals. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, Engineering Lead, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire an Engineering 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 Engineering 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.

Lead engineering team to build reliable AI-powered backend and client systems with strong architecture and operational excellence. | Senior engineering leadership with AI experience, strong backend and client platform skills, and hands-on coding ability. | Job Description Engineering Lead, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home As the Engineering Lead, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (AI) capability into a reliable product. You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers. This is a hands-on leadership role. You 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. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT. Engineering Lead Responsibilities: - Own the application engineering strategy and execution across backend, mobile, and desktop. - Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling. - Build the APIs and abstractions that connect Artificial Intelligence (AI) systems to real-world product experiences. - Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship. - Make high-impact trade-offs across latency, reliability, cost, security, and user experience. - Establish strong production foundations: observability, monitoring, testing, and operational excellence. - Partner closely with Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences. - Move quickly while keeping the architecture simple, maintainable, and ready to scale. Engineering 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 Engineering Lead Qualifications: - Artificial Intelligence (AI) experience is required. - Significant experience leading application or product engineering for complex systems. - Strong hands-on background building and shipping backend systems used in production. - Experience building AI-powered products or systems that integrate with modern Machine Learning (ML)/Large Language Model (LLM) capabilities. - Strong technical judgment and the ability to make decisions with incomplete information. - Comfortable working across backend and client platforms, with deep expertise in at least one. - A strong bias toward ownership, shipping, and learning from real-world usage. - High standards for code quality, reliability, and engineering fundamentals. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, Engineering Lead, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire an Engineering 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 Engineering 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.

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!