Senior RAG Engineer
Tasks
- Build retrieval and knowledge systems
- Conduct root cause analysis
- Design evaluation and testing frameworks
- Develop knowledge ingestion and indexing
- Develop scalable APIs and retrieval services
- Evaluate retrieval technologies and frameworks
- Implement retrieval standards and best practices
- Implement security controls and data governance
- Improve retrieval quality and performance
- Integrate retrieval systems with LLMs
- Lead RAG platform design
- Maintain technical documentation
- Mentor engineers and technical teams
- Monitor platform performance and availability
- Optimize vector search and semantic retrieval
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Cloud infrastructure | Data Ingestion | Distributed Computing | Embeddings | Generative AI | Indexing | Information Retrieval | Knowledge Management | Language Models | Large Language Models | MLOps | Python | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vector Search
Education
Roles
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