AI Full Stack Engineer
Job Summary:
We are looking for an AI Full Stack Engineer who combines: Full stack development (Next.js frontend + Node.js backend) AI application engineering (LLMs, RAG, agentic workflows) Production engineering (Docker, Kubernetes, observability, reliability) Strong ownership from design through deployment
Job 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
Required Skills: Strong experience in full stack engineering (frontend + backend) 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
Required Tech Stacks: Next.js Python Node.js Pytorch OpenAI / Anthropic / open-source LLMs SQl & noSQL Kubernetes Docker
We are looking for an AI Full Stack Engineer who combines: Full stack development (Next.js frontend + Node.js backend) AI application engineering (LLMs, RAG, agentic workflows) Production engineering (Docker, Kubernetes, observability, reliability) Strong ownership from design through deployment
Job 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
Required Skills: Strong experience in full stack engineering (frontend + backend) 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
Required Tech Stacks: Next.js Python Node.js Pytorch OpenAI / Anthropic / open-source LLMs SQl & noSQL Kubernetes Docker