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Software Developer/Engineer (LLM / Meta Llama 3 / Mistral / Mixtral / Python)
Software Developer/Engineer (LLM / Meta Llama 3 / Mistral / Mixtral / Python)Trigyn Technologies • Philadelphia
Software Developer / Engineer (LLM / Meta Llama 3 / Mistral / Mixtral / Python)

Software Developer / Engineer (LLM / Meta Llama 3 / Mistral / Mixtral / Python)

Trigyn Technologies • Philadelphia
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Job Description :

Trigyn has a long-term contract opportunity for Software Developer / Engineer with our direct client - a major utility services firm based in Philadelphia, Pennsylvania (Hybrid). Details on the role are listed below :

NOTE :

  • Hybrid work. 3 days onsite (Philadelphia, PA).
  • Only local candidates preferred.
  • In-person interview is required.

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 (., vLLM, , 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.
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