Log In
Sign Up
About Angel One:
Angel One is one of India’s fastest growing fin-techs, on a bold mission to make investing simple, smart, and inclusive for every Indian. With over 3+ crore clients, we’re building at scale – and building for impact.
Our Super App helps clients manage their investments, trade seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science.
Role Overview
We are looking for a motivated Agentic AI Intern to help build AI-driven, autonomous systems at Angel One. You will work on AI agents, workflow automation, LLM integrations, and enterprise HR data, gaining hands-on experience with real, production-level use cases.
FREE Workshop | LEARN FROM MICROSOFT EXPERT
Most companies are still asking whether AI can help their people teams. We’re already building the answer, reimagining how thousands of employees get help, find data, grow their careers, and get work done, with AI agents at the core.
Problems you’ll explore
- Can an AI agent become every employee’s go-to colleague? Design multi-agent systems that understand questions, take actions, and know when to hand off to a human.
- What if anyone could talk to data? Build agents that turn plain-English questions into insights, charts and decisions, with no SQL or dashboards needed.
- How do AI agents plug into the real world? Experiment with MCP and connect agents to the enterprise tools people actually use.
- What work should humans do, and what should AI handle? Build engines that analyze roles and tasks and give people explainable, personal career insights.
- How much of a process can run itself? Prototype agentic workflows that automate the busywork and leave the judgment to people.
- Your idea here. If you spot a problem worth solving, we want to hear it. Some of our best projects started as someone’s side experiment.
How you’ll work
- Explore fast: prototype new models, agent frameworks and techniques as they emerge
- Sit with real users, understand their problems, and shape what gets built
- Take your best experiments all the way to production
- Learn by doing alongside a team that ships, not one that only writes decks
You might be a fit if you…
- Love building with Python and have played seriously with LLM APIs
- Have a project you’re proud of (GitHub, demo or deployed link)
- Get excited reading about new AI releases and immediately want to try them
- Are curious about why people do things, not just how to code them
- Are comfortable with ambiguity and would rather figure it out than wait for instructions
Bonus points: FastAPI, SQL, agent frameworks (Google ADK, LangGraph), MCP, n8n, AWS, Next.js
×
CJ