Software Developer/Engineer (Mid Level experience) - Only W2 position, No C2C

Hybrid in Philadelphia, PA, US • Posted 21 hours ago • Updated 21 hours ago
Contract W2
On-site
$50 - $60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Access Control
  • Adobe AIR
  • Database
  • Docker
  • Documentation
  • Kubernetes
  • Meta-data Management
  • Open Source
  • Prompt Engineering
  • Python
  • Privacy
  • LLM
  • vector DB
  • RAG
  • deployment
  • architecture
  • LangChain
  • LlamaIndex
  • Rust
  • C++
  • data privacy
  • Qdrant
  • Chroma
  • Milvus
  • embeddings
  • metadata filtering
  • open-source LLMs
  • On-Prem
  • Software Developer

Summary

Title: Software Developer/Engineer (Mid Level experience) - Only W2 position, No C2C

Duration: 6+ Months Contract

Location: Philadelphia, PA

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90941473
  • Position Id: 8937478
  • Posted 21 hours ago
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