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