GenAI & Agentic AI Engineer — Remote, RAG & LangChain

EY; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

EY is seeking a GenAI / Agentic AI Engineer to design, develop, and deploy scalable AI solutions. The role emphasizes hands-on work with Agentic AI, LLMs, RAG, LangChain, and Python, delivering end-to-end AI applications.

You will build RAG pipelines, create AI agents, integrate models like GPT or Gemini, and develop backend services with Python/FastAPI, focusing on prompt engineering, model optimization, and production deployment while collaborating with cross-functional teams.

Qualifications

• 4-8 years of hands-on GenAI/Agentic AI experience.
• Strong experience with LangChain, LLMs, RAG pipelines.
• Solid Python proficiency for API and backend development.

Responsibilities

• Develop and deploy Agentic AI and Generative AI applications.
• Build end-to-end RAG pipelines using LLMs, embeddings, and Vector Databases.
• Create AI agents and workflows using LangChain/LangGraph.
• Integrate LLMs such as GPT, Gemini, Llama, or similar models.
• Develop APIs and backend services using Python / FastAPI.
• Work on prompt engineering, model optimization, evaluation, and production deployment.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Skills

GenAI

Agentic AI

LLM

RAG

LangChain

Python

Vector DB

Prompt Engineering

Job description

EY is seeking a GenAI / Agentic AI Engineer to design, develop, and deploy scalable AI solutions. The role emphasizes hands-on work with Agentic AI, LLMs, RAG, LangChain, and Python, delivering end-to-end AI applications.

You will build RAG pipelines, create AI agents, integrate models like GPT or Gemini, and develop backend services with Python/FastAPI, focusing on prompt engineering, model optimization, and production deployment while collaborating with cross-functional teams.