Senior GEN AI Engineer-New Jersey
•Today
| Hours | Full-time, Part-time |
|---|---|
| Location | New, KY New, Kentucky open_in_new |
About this job
Job Description
Job Description
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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