Own the architecture, development, deployment, and reliability of scalable backend systems for real-time AI voice and chat products. Build Go and Node.js microservices, secure APIs, and data pipelines; manage Azure or AWS infrastructure; optimize performance and costs; and collaborate with AI, frontend, and telephony teams. The role includes production ownership, system design, code reviews, architecture strategy, rapid feature delivery, and mentoring or cross-functional collaboration in a startup environment.

Build and operate production voice and LLM agents using LlamaIndex, LangChain, FastAPI, real-time speech pipelines, and telephony integrations. Responsibilities include RAG, tool calling, guardrails, concurrency, reliability engineering, testing, observability, latency optimization, and debugging customer calls. The role also involves collaborating with clients and FDEs, improving agents from call transcripts, and supporting regulated financial-services use cases.