Responsibilities

• Design and implement backend API services paired with LLM orchestration layers
• Build and maintain advanced RAG pipelines including document ingestion, chunking, embedding, and retrieval tuning
• Develop and integrate agent tools with LangChain, LangGraph and potentially MCP (Model Context Protocol)
• Enforce security, privacy, enterprise‑grade observability, and test coverage across backend workflows
• Lead architecture decisions and uphold engineering standards within the pod
• Collaborate with frontend engineers, data engineers and infrastructure teams to deliver end‑to‑end capabilities
• Own API contracts and service reliability, ensuring graceful handling of AI edge cases and failures
• Provide stable, reusable orchestration frameworks and logic intended for downstream developer use

Qualifications

• Proven backend engineering experience (5+ years) focused on microservic...