GenAI & Agentic AI Engineer

Role: GenAI & Agentic AI Engineer Location: Whippany, NJ (Hybrid) Hire Type: FTE * Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future. About Position: We are looking for a skilled GenAI & 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. 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, 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. 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 / 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. Flexible work from home options available. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Vytwo Technologies is a global leader in enterprise application integration, delivering end-to-end IT consulting and business services for mid to large-scale organizations. We offer a comprehensive suite of solutions including business and technology consulting, Cloud,e-business and digital transformation services, system integration, custom application development, re-engineering, and long-term application support.