Project Brief We're building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate custom models when needed. You'll own end-to-end development of AI features — from prototyping to production — focused on reliability, accuracy, and scalable delivery.
Must‑Haves - Strong Python engineering skills and experience delivering production systems
- Hands‑on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end‑to‑end
- Experience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool‑based workflows
- Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCPSolid understanding of RAG concepts — retrieval, chunking, embeddings, re‑ranking, and evaluation
- Practical AWS experience, especially AWS Lambda and serverless architecture pa...