GenAI Engineer
Location: Newark, DE
Experience: 7 to 10 yrs
Employment type: Full time
Work Mode: Onsite
Must Have Technical/Functional Skills
Primary: Artificial intelligence, LLM
Secondary: Retrieval-Augmented Generation (RAG), FAISS, Chroma DB, or Azure AI Search, Lang Chain, Lang Graph, Llama Index, Autogeny, or Semantic Kernel
Job Description:
We are seeking an experienced Generative AI Engineer with proven expertise in designing, developing, deploying, and supporting AI solutions in production environments. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, vector databases, and cloud based AI platforms. The candidate should have successfully delivered enterprise-grade GenAI applications used by business users in production.
Key Responsibilities
· Design, develop, and deploy Generative AI solutions for enterprise business use cases.
· Build and maintain production-ready applications utilizing LLMs such as GPT, Claude, Gemini, Llama, or similar models.
· Develop RAG-based solutions using vector databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search.
· Implement prompt engineering, prompt tuning, and model evaluation frameworks.
· Integrate AI applications with enterprise systems, APIs, databases, and cloud platforms.
· Monitor production AI applications for performance, accuracy, latency, and cost optimization.
· Design AI agents and workflow automation using frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or Semantic Kernel.
· Implement responsible AI controls, security, governance, and compliance requirements.
· Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver scalable AI solutions.
· Troubleshoot and resolve production issues related to AI systems.