Software Developer/Engineer

The Software Developer/Engineer role will be building and deploying enterprise AI solutions using open-source LLMs, Python, and RAG pipelines with vector databases. The position emphasizes hands-on development, performance optimization, and secure, on-prem or air-gapped deployments, with key deliverables including a working prototype, architecture guidance, and knowledge transfer to internal teams.

• On-Prem LLM & Vector DB Implementation

• 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

Preferred Experience:

• 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