Senior GEN AI Engineer-New Jersey in New Jersery at Trackmind
NewJob Function: Information Technology
Trackmind
New Jersery
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Job Description
Senior GEN AI Engineer-New Jersey
We are looking for an experienced Python GenAI / Machine Learning Engineer to join our growing AI team and help build next-generation AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and advanced machine learning solutions.
Key Responsibilities:• Design, develop, and deploy LLM-powered applications using RAG architectures
• Build AI agents and multi-agent systems using LangChain and LangGraph
• Develop scalable Python-based ML/AI solutions using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, and NumPy
• Implement vector search and semantic retrieval solutions using FAISS, Pinecone, or similar technologies
• Fine-tune, evaluate, and optimize LLMs through prompt engineering and advanced evaluation techniques
• Develop RESTful APIs using FastAPI or Flask
• Deploy and scale AI solutions on AWS, Azure, or GCP
• Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and governance controls
Required Skills:• Build AI agents and multi-agent systems using LangChain and LangGraph
• Develop scalable Python-based ML/AI solutions using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas, and NumPy
• Implement vector search and semantic retrieval solutions using FAISS, Pinecone, or similar technologies
• Fine-tune, evaluate, and optimize LLMs through prompt engineering and advanced evaluation techniques
• Develop RESTful APIs using FastAPI or Flask
• Deploy and scale AI solutions on AWS, Azure, or GCP
• Implement MLOps/LLMOps best practices, CI/CD pipelines, monitoring, and governance controls
5+ years of Python development and Machine Learning experience
2+ years of hands-on experience with GenAI, RAG, and LLM applications
Strong expertise in LangChain and/or LangGraph
Experience with vector databases, semantic search, and retrieval systems
Knowledge of Agentic AI, prompt engineering, and workflow orchestration
Experience with Docker, Kubernetes, Git, and cloud deployment platforms
Strong problem-solving and communication skills
Preferred Qualifications:2+ years of hands-on experience with GenAI, RAG, and LLM applications
Strong expertise in LangChain and/or LangGraph
Experience with vector databases, semantic search, and retrieval systems
Knowledge of Agentic AI, prompt engineering, and workflow orchestration
Experience with Docker, Kubernetes, Git, and cloud deployment platforms
Strong problem-solving and communication skills
Experience with Azure OpenAI, LlamaIndex, LangSmith, or similar frameworks
Exposure to AI evaluation, monitoring, and guardrail frameworks
Contributions to open-source AI/ML projects
Experience integrating AI solutions with React-based applications
Exposure to AI evaluation, monitoring, and guardrail frameworks
Contributions to open-source AI/ML projects
Experience integrating AI solutions with React-based applications
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Job Location
New Jersery
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