On-Prem LLM & Vector DB Consultant

On-Prem LLM & Vector DB Consultant

Work locations: Philadelphia | Work Mode: Hybrid, minimum 3 days in the office

Duration: 12 Months

About the Role

Consultant Requirements – On-Prem LLM & Vector DB Implementation

Core Experience

Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments

Strong proficiency in Python for LLM inference, prompt engineering, and integration

Experience with CPU-based inference, model quantization, and performance tuning

Vector Databases & RAG

Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector

Proven implementation of Retrieval-Augmented Generation (RAG) pipelines

Experience generating and managing embeddings and metadata filtering

Security & Governance

Understanding of data privacy, air-gapped deployments, and enterprise security requirements

Experience implementing access controls and audit logging

Nice to Have

Experience with LangChain or LlamaIndex

Exposure to Rust, Go, or C++ for high-performance services

Familiarity with Docker and Kubernetes for on-prem deployments

Knowledge of inference frameworks (e.g., vLLM, llama.cpp, Hugging Face Transformers)

Prior work in regulated or enterprise environments

Deliverables

Reference architecture and deployment guidance

Working prototype (LLM + vector DB + RAG)

Documentation and knowledge transfer to internal teams