Agentic AI Intern (LLM + Automation + RAG)

Qualifications

• Familiarity with LLMs, prompt chaining, and multi-agent systems
• Experience using Python, APIs, and data pipelines
• Knowledge of RAG architectures or interest in learning fast

Responsibilities

• Design and prototype multi-step agent workflows using OpenAI tools
• Integrate tools, memory, and RAG (retrieval-augmented generation) with agents
• Experiment with frameworks like LangChain, LangGraph, or CrewAI
• Simulate and test agentic behaviors in real-world tasks
• Collaborate on building and evaluating agent performance and UX

Full Description

Location: Remote | Type: Internship | Duration: 10–12 weeks

College Credit Opportunity Available

About Us

About the Role

Help us build the next generation of autonomous agents powered by LLMs. As an Agentic AI Intern, you’ll research and prototype intelligent workflows that can reason, plan, and act—powered by OpenAI, LangGraph, or AutoGen.

Responsibilities

Design and prototype multi-step agent workflows using OpenAI tools

Integrate tools, memory, and RAG (retrieval-augmented generation) with agents

Experiment with frameworks like LangChain, LangGraph, or CrewAI

Simulate and test agentic behaviors in real-world tasks

Collaborate on building and evaluating agent performance and UX

Requirements

Familiarity with LLMs, prompt chaining, and multi-agent systems

Experience using Python, APIs, and data pipelines

Knowledge of RAG architectures or interest in learning fast

Bonus: Contributions to agentic frameworks, or interest in AI agents in UX/product

Open to International students who need CPT/OPT.