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About the Role
Core Experience
Vector Databases & RAG
Security & Governance
Nice to Have
...
- Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments (25%)
- Strong proficiency in Python for LLM inference, prompt engineering, and integration (25%)
- Experience with CPU-based inference, model quantization, and performance tuning (25%)
Vector Databases & RAG
- Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector (25%)
- Proven implementation of Retrieval-Augmented Generation (RAG) pipelines (25%)
- Experience generating and managing embeddings and metadata filtering (25%)
Security & Governance
- Understanding of data privacy, air-gapped deployments, and enterprise security requirements (25%)
- Experience implementing access controls and audit logging (25%)
Nice to Have
...
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