Sr. GenAI Programmer

IntoneCCM

New Jersey

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Intone Inc is seeking a Senior GenAI Programmer for a 12-month contract in New Jersey to design, develop, and deploy generative AI and large language model solutions in enterprise production environments.

You will deliver end-to-end GenAI solutions, develop REST APIs with Python and FastAPI, and implement agentic AI workflows using LangGraph. The role emphasizes governance, risk controls, and scalable vector search/RAG architectures.

Qualifications

  • 3+ years hands-on GenAI/LLM experience.
  • Strong Python, REST APIs, FastAPI, and WebSocket skills.
  • Experience with GPT/LLaMA and LangChain/LlamaIndex.
  • Familiarity with embeddings, vector search, and RAG architectures.
  • Knowledge of Model Governance and Model Risk Management practices.

Responsibilities

  • Deliver end-to-end GenAI and LLM solutions in enterprise production environments.
  • Develop and maintain REST APIs and WebSocket implementations using Python and FastAPI.
  • Design and implement agentic AI systems and workflows using LangGraph and related frameworks.
  • Build and optimize retrieval-augmented generation (RAG) systems, embeddings, and vector search solutions.
  • Apply model governance and risk management practices, including documentation, compliance monitoring, and performance controls.

Skills

GenAI
LLM tech
Python
REST APIs
WebSockets
FastAPI
LangGraph
LlamaIndex
Embeddings
Vector search
RAG
Model governance
Model risk
Agentic AI
MCP

Tools

LangChain
LlamaIndex

Job description

We are seeking a Senior GenAI Programmer for a 12-month contract position based in New Jersey. This role offers the opportunity to design, develop, and deploy generative AI and large language model solutions in enterprise production environments.

Responsibilities
  • Deliver end-to-end GenAI and LLM solutions in enterprise production environments
  • Develop and maintain REST APIs and WebSocket implementations using Python and FastAPI
  • Design and implement agentic AI systems and workflows using LangGraph and related frameworks
  • Build and optimize retrieval-augmented generation (RAG) systems, embeddings, and vector search solutions
  • Apply model governance and risk management practices, including documentation, compliance monitoring, and performance controls
Qualifications
  • Required
    • 3+ years of hands-on experience with GenAI and LLM technologies
    • Strong Python development experience with REST APIs, FastAPI, and WebSockets
    • Hands-on experience with large language models such as GPT and LLaMA
    • Experience with LangChain and LlamaIndex frameworks
    • Experience with embeddings, vector search, and RAG architectures
    • Knowledge of Model Governance and Model Risk Management practices
  • Preferred
    • Experience with Agentic AI and MCP (Model Context Protocol)
    • Familiarity with model documentation, governance, compliance frameworks, and performance monitoring
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