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Software Developer/Engineer (LLM and Python)

Tri-Force Consulting Services IncPhiladelphia, PA🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

Dive into cutting-edge LLM and Vector DB implementation with this hybrid role, offering significant opportunities to refine your Python and AI skills within a reputable consulting firm. You'll thrive here if you possess hands-on experience with open-source LLMs and RAG pipelines, and you're eager to contribute to secure, on-prem deployments. This is a fantastic chance to gain valuable experience and advance your career in a rapidly evolving tech landscape.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Title: Software Developer/Engineer (Mid Level experience)
Duration: 12 Months
Location: Philadelphia, PA
Note: Hybrid role, minimum 3 days in the office
Interview: 1st interview, 1-hour, in-person; 2nd interview, 1-hour, in-person
Job description:
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

Skills

Docker
Rust
C++
Hugging Face
Kubernetes
LLM
Python

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