
Lead RAG / Knowledge AI Engineer - (Freelance)
Positions: 1
Experience: Ideally 6–10 years, with strong recent production RAG experience.
Mission
Own UC1's permission-aware enterprise knowledge and retrieval architecture.
Mandatory capabilities
- Python
- Production RAG
- Embeddings
- Vector search
- Hybrid search
- BM25/sparse retrieval
- Semantic search
- Document chunking
- Metadata extraction/filtering
- Query transformation
- Reranking
- Context engineering
- Grounded generation
- Citation generation
- Hallucination mitigation
- RAG evaluation
Strong experience with Milvus, pgvector, Qdrant, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search or equivalent.
Major differentiator
Prior implementation of:
User Identity $B"*(J Source ACL $B"*(J Retrieval Filter $B"*(J Search $B"*(J Reranking $B"*(J Authorized Context $B"*(J LLM
Experience with SharePoint, Microsoft Graph, Microsoft 365, Confluence and Entra ID/Azure AD should receive significant preference.

About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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