Job Description

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...

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