Found Description
We are seeking a skilled **Python Platform Engineer** to operate and evolve the core infrastructure powering our enterprise knowledge base platform. As we transition from a Confluence-focused RAG chatbot into a highly advanced, multi-source agentic knowledge system, you will play a pivotal role in designing and scaling our AI backend.
Today, our platform handles automated ingestion (from sources like internal wikis and code repositories) → chunking → pgvector storage → RAG retrieval → FastAPI serving. In this next phase, you will help us expand towards hybrid retrieval (combining vector, sparse, and graph search), multi-source ingestion pipelines, robust evaluation frameworks, and scalable agent infrastructure.
Req.#1050282307
**Responsibilities**
+ Architect and implement highly performant backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
+ Design critical retrieval trade-offs optimizing for quality, latency, ...
Today, our platform handles automated ingestion (from sources like internal wikis and code repositories) → chunking → pgvector storage → RAG retrieval → FastAPI serving. In this next phase, you will help us expand towards hybrid retrieval (combining vector, sparse, and graph search), multi-source ingestion pipelines, robust evaluation frameworks, and scalable agent infrastructure.
Req.#1050282307
**Responsibilities**
+ Architect and implement highly performant backend services using Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
+ Design critical retrieval trade-offs optimizing for quality, latency, ...