GenAI & Agentic AI Engineer
Warren, OH - USA
Job Summary
Role : GenAI & Agentic AI Engineer
Location : Whippany NJ 07981 (Hybrid)
- Build and deploy GenAI applications using LLMs (OpenAI Azure OpenAI Claude Gemini Llama etc.).
- Develop Agentic AI workflows using frameworks such as CrewAI AutoGen LangGraph or LangChain 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.
- 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 in Python and ML libraries (Scikit learn Pandas NumPy).
- Experience with OpenAI APIs Azure OpenAI HuggingFace 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.