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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:
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
- 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)
- Production-level GenAI application development
- LLMOps / MLOps
- AI security, governance, responsible AI
- Local candidates preferred
- Relocation considered on case-by-case basis