We're looking for a mid-senior Django backend engineer with proven experience in Model
Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) systems.
You'll
design scalable Django APIs, integrate MCP adapters, and deliver production-ready RAG
pipelines powering real-time AI applications.
What you'll do:
● Build & optimize Django REST APIs for AI-driven systems
● Implement RAG pipelines (embeddings, retrieval, ranking, response)
● Integrate MCP adapters with external services & vector DBs
● Deploy & scale in Kubernetes (AKS) with CI/CD
What we're looking for:
● 5+ years Django backend development (REST, ORM, migrations)
● Proven MCP + RAG production experience
● Strong skills in PostgreSQL, Redis, pgvector (or Quadrant)
● Experience integrating LLMs
$1200-$2k monthly contract
Remote, 3–6 month engagement (potential conversion)
If you've built production-grade RAG systems and know how to integrate MCP at scale,
let's connect