Description

You will build and ship production-grade AI systems, owning the full path from development to deployment in a small-team environment.

Responsibilities

• Design and implement backend services using Python and/or TypeScript, ensuring robust API design and async system architecture.
• Integrate LLM APIs (OpenAI, Anthropic) into production products, managing function calling, structured outputs, streaming, and latency tradeoffs.
• Develop agentic systems that manage state, invoke tools, and handle failure recovery using frameworks like LangGraph or LangChain.
• Build evaluation infrastructure to measure system performance and reliability before release.
• Collaborate directly with product management to define feature requirements and ensure customer value.

Required Skills

• Strong backend engineering fundamentals with shipped software experience.
• Proficiency in Python and/or TypeScript.
• Experience with API design and production databases.
• Hands-on experience with LLM API integration beyond demo projects.
• Practical knowledge of agentic frameworks (LangGraph, LangChain, LlamaIndex).
• Ability to reason through state management and tool invocation in AI systems.
• Experience shipping in teams of fewer than five people.

Preferred Skills

• Hands-on RAG experience with chunking strategies and vector store tradeoffs.
• Experience with Langfuse, LangSmith, or Arize Phoenix for observability.
• Cloud deployment experience (AWS, GCP, Azure), Docker, and CI/CD.

Key Skills

Education

Any Gradute