Senior GEN AI Engineer-New Jersey in New

Energy Jobline
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Automated Storage and Retrieval Systems
Azure
Cloud Computing
Python
Machine Learning
NumPy
Open Source Technology
TensorFlow
Search Technologies
Workflow Management Systems
PyTorch
React
Flask
Large Language Models
Multi-Agent Systems
Prompt Engineering
Deep Learning
GIT
FastAPI
Pandas
Scikit Learn
Kubernetes
HuggingFace
Machine Learning Operations
Virtual Agents
REST
Docker

Requirements

Job DescriptionJob DescriptionWe are looking for an experienced Python GenAI / Machine Learning Engineer to join our growing AI team and help build next- AI-powered applications leveraging Large Models (LLMs), Retrieval-Augmented (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: 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 Qualifications: 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

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