We are hiring an AI Engineer to build production-grade AI features inside our enterprise products. This is not a research role. You will ship working systems: retrieval pipelines, agentic workflows, structured extraction, and LLM-backed services that real users depend on every day.

You will work on features end to end, from problem framing and prototype through deployment, evaluation, and iteration.

What you will do

• Build and maintain RAG pipelines, agentic systems, and LLM-powered services using Python, FastAPI, and modern vector stores (Pinecone, Chroma, pgvector, or similar).
• Design prompt strategies, evaluation harnesses, and guardrails for production reliability. Track quality with real metrics, not vibes.
• Integrate LLM APIs (OpenAI, Anthropic, open-source via Hugging Face or local inference) into existing product surfaces. Decide when to use which model based on cost, latency, and accuracy tradeoffs.
• Ship feature...