Found 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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