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PL

GenAI & Agentic AI Engineer

PeopleNTech LLC
🇺🇸 United States
On-site
4 months ago
  • Machine Learning
  • AI/ML
  • CrewAI
  • AutoGen
  • LangGraph
  • LangChain
  • RAG
  • OpenAI
  • Azure OpenAI
  • Claude
  • Gemini
  • Vector Search
  • AI
  • Python
  • FastAPI
  • Flask
  • Azure
  • AWS
  • GCP
  • FAISS
  • Pinecone
  • Chroma
  • Weaviate
  • scikit-learn
  • Pandas
  • NumPy
  • Hugging Face
  • Django
  • REST API
  • Microservices
  • Git
  • CI/CD
  • Docker
4 months ago
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Please share profiles for the below role ASAP
Indent :SF_OP_199463-27-1
Role :GenAI & Agentic AI Engineer
Location :Whippany, NJ 07981 (Hybrid)
Salary: $140k to $145k

Experience Required: 5+ years in AI/ML
GenAI Experience: Minimum 2 years (hands‐on)
Agentic AI Experience: Minimum 6 months (CrewAI / AutoGen / LangGraph / LangChain Agents)

Role Summary
We are seeking a skilledGenAI & Agentic AI Engineer with strong experience in building end‐to‐end AI/ML solutions, Generative AI applications, and agent‐based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‐on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

Key Responsibilities
  • Build and deployGenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
  • DevelopAgentic AI workflows using frameworks such asCrewAI, AutoGen, LangGraph, or LangChain Agents.
  • Design and implementRAG pipelines, vector search solutions, and embedding‐based retrieval systems.
  • Build scalable AI services usingPython, 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.
  • Implementhallucination 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.

Required Skills & Experience
  • 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 / AutoGen / LangGraph / LangChain Agents).
  • Strong proficiency inPython and ML libraries (Scikit‐learn, Pandas, NumPy).
  • Experience withOpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
  • Familiarity with building scalable APIs usingFastAPI, 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.

Puja Kumari
Recruiter - Talent Acquisition
Mobile (US):+1973-668-4078

GenAI & Agentic AI Engineer ¡ PeopleNTech LLC

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