AI Experience Software Engineer (IR-479)

Strong Python experience (FastAPI, async, tool functions, structured outputs). Experience with LLMs: OpenAI, Claude, Gemini, Groq, ReAct, RAG, transformers. Experience building real agentic workflows. Experience with cloud infrastructure (AWS, GCP, Azure, etc). Vector DB experience (Pinecone, Qdrant, PGVector, Chroma). Comfortable integrating complex APIs, authentication flows, and compliance handling. Strong architectural instincts for secure, multi-tenant SaaS applications. Experience with Postgres, BigQuery, Redis, and message queues.

Build agentic workflows using frameworks like LangChain, CrewAI, etc. Design RAG systems with structured memory, embeddings, and vector stores. Develop multi-agent orchestration for automated operations. Build AI tools for analyzing insurance carrier documents. Implement cost-aware AI routing and observability for LLM usage. Connect AI flows to GCP, AWS, and custom APIs. Build structured tools/functions for AI agents. Implement workflow automations for sales, compliance, etc. Work with vendor APIs. Design systems for scaling to tens of thousands of agents. Implement monitoring, testing, and performance automation for AI systems. Define best practices for safety and deterministic behavior in agent workflows.