The GenAI Engineer is responsible for designing, developing, and deploying AI-powered applications using LangChain, LangGraph, PySpark, and Flask/FastAPI. The role focuses on building scalable Agentic AI solutions, integrating Large Language Models (LLMs) with enterprise data pipelines, APIs, and business applications to deliver intelligent, secure, and production-ready AI solutions.

Key Responsibilities :

- Design, develop, and deploy GenAI applications using LangChain, LangGraph, and LLMs.

- Build Agentic AI workflows for automation, reasoning, and decision support.

- Develop REST APIs and AI services using Flask or FastAPI.

- Build and optimize data processing pipelines using PySpark.

- Integrate AI solutions with enterprise systems, APIs, and data sources.

- Implement prompt engineering, tool calling, and structured agent workflows.

- Collaborate with cross-functional teams to deliver scalable AI solutions.

- Ensure AI applications meet performance, security, monitoring, and governance standards.

Skillset :

- PySpark

- GenAI - LangChain

- GenAI - LangGraph

- Flask / FastAPI