Senior RAG Engineer
Tasks
- Design knowledge ingestion and indexing frameworks
- Develop enterprise retrieval and knowledge systems
- Develop evaluation methodologies for retrieval quality
- Develop scalable APIs and retrieval services
- Establish retrieval standards and best practices
- Evaluate emerging retrieval technologies
- Implement security controls and data governance
- Integrate retrieval systems with large language models
- Lead retrieval augmented generation platform design
- Maintain technical documentation
- Mentor engineers and technical teams
- Monitor platform performance and availability
- Optimize vector search and semantic retrieval
- Perform root cause analysis and issue resolution
- Recommend enhancements to retrieval architecture
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Chroma | Distributed Systems | Embeddings | Enterprise Search | Haystack | Information Retrieval | Langchain | Language Model | Large Language Model | Llamaindex | MLOps | Milvus | Pinecone | Python | Retrieval-Augmented Generation | Secure Architecture | Semantic Search | Vector Database | Weaviate
Education
Roles
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