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AI Lead

Argyllinfotech

Job Title: AI Lead Agentic AI / LangChain / LangGraph



Location: Plainsboro, NJ Hybrid



Work Arrangement: 3 Days Onsite per Week



Location Requirement: NJ/NY Candidates Only



Employment Type: Contract C2C / W2 / 1099

Client: Brillio / Novo Nordisk

LinkedIn profile is mandatory for submission.

The candidate's LinkedIn profile must reasonably align with their professional experience and career start date .

Please do not submit candidates whose LinkedIn profile was created/recently established around 2020 when the candidate's professional experience shows a career start in 2012, 2013, or 2014 .



Interview: Interview slots available

Job Description

We are looking for an experienced AI Lead with strong hands-on expertise in Agentic AI, Generative AI, LangChain, LangGraph, and RAG to lead the design and development of enterprise AI solutions for a healthcare/life-sciences environment.

The ideal candidate should have strong experience building LLM-powered applications, AI agents, RAG pipelines, and multi-agent workflows , along with the ability to work closely with business, data, and engineering teams.

Key Responsibilities
  • Lead the architecture and development of Agentic AI and Generative AI solutions .
  • Design and implement intelligent AI agents using LangChain and LangGraph .
  • Build scalable Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
  • Develop LLM-powered applications, AI assistants, and multi-agent workflows.
  • Design prompt engineering, tool/function calling, memory, orchestration, and agent workflows.
  • Integrate LLMs with APIs, databases, vector databases, and enterprise platforms.
  • Evaluate LLM responses for accuracy, relevance, hallucination, and performance.
  • Work with data and engineering teams to build production-ready AI solutions.
  • Establish best practices around AI application architecture, security, governance, and responsible AI.

Required Skills

  • 10+ years of overall IT experience
  • Strong hands-on experience with AI / Generative AI
  • Agentic AI / AI Agents
  • LangChain
  • LangGraph
  • RAG Retrieval-Augmented Generation
  • Large Language Models (LLMs)
  • Python
  • Prompt Engineering
  • Vector Databases / Embeddings
  • AI/ML model integration
  • API and enterprise system integration
  • Experience designing scalable AI solutions and architectures
Vacancy posted 2 days ago
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