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GenAI & Agentic AI Engineer

Job in Hanover Township, Morris County, New Jersey, USA
Listing for: Persistent Systems
Full Time position
Listed on 2026-05-23
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Role

GenAI & Agentic AI Engineer

Location

Whippany, NJ (Hybrid)

What You'll Do
  • Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
  • Develop Agentic AI workflows using frameworks such as CrewAI, Auto Gen, Lang Graph, or Lang Chain Agents
    .
  • Design and implement RAG pipelines
    , vector search solutions, and embedding‑based retrieval systems.
  • Build scalable AI services using Python
    , FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
  • Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
  • Implement hallucination reduction
    , prompt‑engineering strategies, and model evaluation methods.
  • Integrate LLMs with enterprise applications, APIs, and automation workflows.
  • Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
  • Monitor, evaluate and optimize GenAI models for accuracy, performance, and cost.
Expertise You'll Bring
  • 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
  • 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
  • 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / Auto Gen / Lang Graph / Lang Chain Agents).
  • Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, Num Py).
  • Experience with OpenAI APIs
    , Azure OpenAI, Hugging Face, and prompt engineering.
  • Familiarity with building scalable APIs using FastAPI
    , Flask, or Django.
  • Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
  • Strong understanding of REST APIs, microservices, and integration patterns.
  • Experience with Git, CI/CD, Docker, and model deployment best practices.
  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly promotion cycles and company‑sponsored higher education and certifications
  • Opportunity to work with cutting‑edge technologies
Benefits
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
  • Annual health check‑ups and insurance:
    Group term life insurance, Mediclaim hospitalization insurance for self, spouse, two children, and parents.
  • Technology Innovation: culture of innovation using cutting‑edge technology to bring value to clients.
  • Growth and Career Progression: learning opportunities for growth, including quarterly promotion cycles.
  • One Persistent Culture: global outlook with diversity and inclusion at its core.
  • Mental and Physical Wellness: employee health and mindfulness programs.
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