Strong experience in full-stack engineering across frontend and backend systems.
Artificial intelligence experience is required.
Solid understanding of system design and application programming interface architecture.
Experience working with large language models, retrieval-augmented generation systems, or AI-powered applications.
Ability to handle ambiguity and make pragmatic engineering decisions.
Ability to take features from idea through production with strong ownership.
Comfort working in fast-moving environments with evolving requirements.
Experience with the listed technology stack: artificial intelligence, Anthropic, application programming interfaces, backend systems, Docker, frontend systems, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, open-source software, large language models, Python, PyTorch, retrieval-augmented generation systems, and SQL.
Responsibilities
Build end-to-end product features across frontend, backend, and artificial intelligence integrations.
Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
Integrate large language models, memory, and external tools into systems that behave reliably under real-world conditions.
Design real-time artificial intelligence interactions with streaming, partial results, and tight latency constraints.
Improve system reliability, observability, and fallback mechanisms.
Collaborate with machine learning, backend, and product teams to ship features end-to-end.
Continuously iterate based on real usage and failure modes.
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 the responsiveness of artificial intelligence interactions while maintaining output quality.
Build robust fallback and recovery mechanisms for large language model 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 large language models, memory, and external tools into scalable product systems.
Contribute to a product experience where artificial intelligence is proactive, consistent, and dependable over time.
Job Description
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.
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.
Qualifications
Full Stack Engineer Qualifications:
- Strong experience in Full Stack Engineering (Frontend and Backend).
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!
Additional Information
Please check out all of our jobs at www.ginastechjobs.com.