Role & Responsibilities
Design, develop, and test AI Agents for real-world business use cases.
Build applications using Large Language Models (LLMs) and Generative AI technologies.
Develop Retrieval-Augmented Generation (RAG) pipelines using Vector Databases.
Work with LangChain, LangGraph, and Model Context Protocol (MCP) to orchestrate AI workflows.
Integrate AI models with REST APIs, databases, and third-party applications.
Implement prompt engineering techniques to improve AI performance.
Develop and optimize Python-based backend services.
Participate in debugging, testing, and deploying AI solutions.
Collaborate with cross-functional teams to deliver cutting-edge AI products.
Research and evaluate emerging AI tools, frameworks, and best practices.
Eligibility
Final Year Students or Fresh Graduates in B.E./B.Tech (CSE,
IT, AI & DS), MCA, M.Sc. (Computer Science), or related disciplines.
Basic knowledge of Python programming.
Robust analytical and problem-solving skills.
Passion for Artificial Intelligence and Machine Learning.
Valuable communication and teamwork skills.
Preferred Skills
Python
Generative AI & Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
LangChain
LangGraph
Model Context Protocol (MCP)
REST APIs / FastAPI
Git & GitHub
SQL / NoSQL Databases