Lead RAG / Knowledge AI Engineer - (Freelance)

Positions: 1

Experience: Ideally 6–10 years, with robust 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.

Skills:- Retrieval Augmented Generation (RAG)

📌 Lead RAG / Knowledge AI Engineer (Freelance) (India)
🏢 Ampera Technologies
📍 India