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GenAI / Agentic AI Engineer - location : NJ/TX -onsite

Jobs via Dice
Jersey, NJ Full Time
POSTED ON 4/30/2026
AVAILABLE BEFORE 5/28/2026
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Congensys Corp., is seeking the following. Apply via Dice today!

Job Title: GenAI / Agentic AI Engineer - Location : Jersey City, NJ and Texas

Location: Jersey City, NJ or Texas (5 Days Onsite)

Duration: 12 Months (Possible Extension/Conversion)

Employment Type: W2 Only (Local Preferred)

need local to TX/NJ profiles

Job Description:

We are looking for an experienced GenAI / Agentic AI Engineer with 7 years of experience in designing and building AI-powered applications using Large Language Models (LLMs). This is a hands-on role focused on developing intelligent agents, RAG-based solutions, and integrating GenAI capabilities into enterprise systems.

Responsibilities:

  • Design and develop Agentic AI solutions using LLMs
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines
  • Implement prompt engineering and embeddings
  • Integrate GenAI models with APIs and enterprise applications
  • Develop scalable AI workflows using Python and GenAI frameworks
  • Optimize performance, accuracy, and scalability of AI models
  • Collaborate with cross-functional teams

Required Skills:

  • Strong Python development experience
  • Hands-on with LLMs (OpenAI, Anthropic, Hugging Face)
  • Experience with LangChain, LlamaIndex, CrewAI or similar
  • Knowledge of vector databases and semantic search
  • Cloud platforms (AWS, Azure, or Google Cloud Platform)

Nice to Have:

  • Production-level GenAI application development
  • LLMOps / MLOps
  • AI security, governance, responsible AI

Note:

  • Local candidates preferred
  • Relocation considered on case-by-case basis

📩 Apply with updated resume and details (Location, Visa, Rate, Availability) to Email:

Salary.com Estimation for GenAI / Agentic AI Engineer - location : NJ/TX -onsite in Jersey, NJ
$181,863 to $229,853
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