Role: AI Engineer (Internship)
Year: 2026
Qualification: Bachelors
Experience (years): 0
Job description:
Proficiency in Python and comfort working with APIs (REST, JSON, authentication).
Working understanding of Large Language Models (LLMs) and prompt engineering - gained through coursework, online learning, personal projects, hackathons, or open-source contributions.
Familiarity with at least one agent or LLM framework (e.g., LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, the Anthropic /OpenAI SDKs, or the Model Context Protocol).
Strong problem-solving skills and the ability to break ambiguous business problems into structured, automatable steps.
Excellent communication skills and ability to work collaboratively with others.
Experience with vector databases and Retrieval-Augmented Generation (RAG), Exposure to tool use / function calling, multi-agent orchestration, or workflow automation tools (e.g., n8n, Zapier), SQL and PowerBI, Awareness of evaluation, guardrails, or safety practices for LLM applications are good to have. B Tech / B.E. in Computer Science, Information Technology, or a similar field. Candidates from other engineering or science backgrounds with demonstrated hands-on experience building with LLMs or AI agents are also encouraged to apply.
Technical skills: Python, APIs, LLMs, Prompt Engineering, LangChain, LangGraph, CrewAI, AutoGen, MCP, VectorDB, n8n, RAG
Soft skills: Communication, Problem Solving