Sharepoint consultant(Only Locals)

Real Soft Inc.
Philadelphia, PA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
$104,000.0 - $124,800.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence C++ (Programming Language) Python (Programming Language) Metadata Open Source Technology Performance Tuning Microsoft SharePoint Data Logging Large Language Models Generative AI Backend Optimization Algorithms
+2 more
HuggingFace Docker

Job description

  • Deploy and manage open-source LLMs (e.g., Llama 3, Mistral/Mixtral) in on-prem or private environments
  • Develop and optimize LLM inference workflows using Python
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Design and integrate vector database solutions for efficient semantic search
  • Perform model quantization and performance tuning for CPU-based inference
  • Ensure data privacy, security, and governance compliance in enterprise environments
  • Implement access controls, logging, and monitoring mechanisms
  • Deliver reference architecture, prototypes, and technical documentation
  • Collaborate with internal teams for knowledge transfer and system adoption

Requirements

We are seeking a mid-level Software Developer/Engineer with hands-on experience in deploying on-premise LLM solutions and vector databases. The ideal candidate will have strong expertise in Python, RAG pipelines, and enterprise-grade AI system implementation within secure environments., * Strong experience with Python for AI/ML and backend development

  • Hands-on experience with open-source LLM deployment (Llama 3, Mistral, Mixtral)
  • Experience with CPU-based inference and optimization techniques
  • Practical experience with vector databases (Qdrant, Chroma, Milvus, pgvector)
  • Proven experience building RAG pipelines
  • Knowledge of embeddings, similarity search, and metadata filtering
  • Understanding of enterprise security, data privacy, and air-gapped environments

Preferred Qualifications

  • Experience with LangChain or LlamaIndex
  • Familiarity with Docker and Kubernetes
  • Exposure to Rust, Go, or C++ for high-performance systems
  • Experience with LLM inference frameworks (vLLM, llama.cpp, Hugging Face Transformers)
  • Prior experience in regulated or enterprise environments

Deliverables

  • End-to-end reference architecture for LLM + vector DB solutions
  • Functional prototype (LLM + RAG + Vector DB)
  • Comprehensive documentation and knowledge transfer

Benefits & conditions

4.04.0 out of 5 stars Philadelphia, PA 19122 Hybrid work $50 - $60 an hour - Contract

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