Role Overview
As an Agentic AI Developer Intern, you will design, develop, and test AI Agents for real-world business use cases, building applications using Large Language Models (LLMs) and Generative AI technologies.
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 innovative AI products.
- Research and evaluate emerging AI tools, frameworks, and best practices.
Requirements
- 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.
- Strong analytical and problem-solving skills.
- Passion for Artificial Intelligence and Machine Learning.
- Good communication and teamwork skills.
Skills
- Python
- LangChain
- Large Language Models (LLMs)
- Vector Databases
- RAG