Agentic AI Intern (GenAI & Autonomous Agents)

Role Overview

As an Agentic AI Intern, you will work closely with product, engineering, and research teams to design, build, and optimise autonomous AI agents capable of reasoning, planning, and executing complex tasks across multiple tools and platforms.

Key Responsibilities

• Design and implement Agentic AI workflows using LLMs
• Build multi-agent systems using LangChain, LangGraph, AutoGen, and CrewAI
• Develop RAG (Retrieval-Augmented Generation) pipelines with vector databases
• Integrate AI agents with WhatsApp, Web Apps, APIs, Slack, and MS Teams
• Experiment with memory, planning, reflection, and tool-calling patterns
• Optimise prompts, agent coordination, and system performance
• Collaborate on real-world enterprise AI use cases

Required Skills

• Strong understanding of Python
• Fundamentals of LLMs, GenAI, and Prompt Engineering
• Knowledge of RAG architecture and embeddings
• Familiarity with AI frameworks:
  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI

Cloud & Tools (Good to Have)

• GCP (Vertex AI, Cloud Functions, BigQuery)
• AWS (Bedrock, Lambda, S3)
• Microsoft Azure (Azure OpenAI, AI Studio)
• Vector DBs: Pinecone, FAISS, Weaviate, Chroma
• Git, Docker, REST APIs

Who Should Apply

• Students or fresh graduates in Computer Science, AI/ML, or Data Science
• Passionate about autonomous AI agents and real-world AI systems
• Strong problem-solving and learning mindset

What You'll Gain

• Hands-on experience with production-grade Agentic AI systems
• Work on live enterprise projects
• Mentorship from AI product leaders
• Opportunity for full-time role based on performance