Senior Full Stack AI Engineer

## About the role We are building AI-powered products and need someone who can work across the full stack without a handoff at every layer. This role spans backend services, AI orchestration, real-time voice, and frontend. You will own features from design to deployment and debug issues that cut across all of them. If your experience is limited to a single layer, or your AI exposure has not gone beyond side projects, this is not the right fit. ## Responsibilities - Design and build backend services and APIs using Node.js and Python. - Build and operate AI workflows using LangChain and LangGraph for orchestration, chaining, and agent logic. - Use LangSmith for tracing, evaluation, and debugging of AI pipelines in production. - Integrate real-time voice using LiveKit and related voice AI infrastructure. - Build React and Next.js frontends that handle streaming AI responses cleanly. - Own features end to end, from design through deployment, monitoring, and iteration. - Set up logging, tracing, and alerting so issues surface before users report them. - Debug across frontend, backend, AI pipelines, and infrastructure simultaneously. ## Requirements - 5+ years of professional software engineering in production environments. - Strong hands-on experience with Node.js and Python at production scale. - Demonstrated experience building AI workflows with LangChain, LangGraph, or comparable frameworks. - Working knowledge of LangSmith or equivalent AI observability tooling. - Solid experience with React and Next.js. - Strong grasp of async programming, streaming (SSE/WebSocket), and frontend state management. - Experience with MongoDB or similar document stores. - Comfort deploying on AWS, GCP, or equivalent. ## Nice to have - LiveKit or other real-time voice and audio pipeline systems. - Conversational AI, voice agents, or multi-modal AI products. - RAG pipelines, LLM evaluation, or fine-tuning workflows. ## What we offer - End-to-end ownership of features that ship to real users, direct influence over architecture, and a small team where your work has visible product impact.