# Applied AI Intern

> Applied AI Intern at Vel Labs: a 3–6 month, in-office internship in Bengaluru building LLM-powered systems in production, with a PPO opportunity.

- Canonical: https://vellabs.in/careers/applied-ai-intern
- Site: Vellabs (https://vellabs.in)
- Updated: 2026-10-21

## What this page is

The job description for the Applied AI Intern role at Vel Labs, served at `/careers/applied-ai-intern`. It is
one of the open roles listed on the Careers page, `/careers` (its Markdown: `/careers.md`).

## Applied AI Intern

Engineering · Internship. Bengaluru · In office · 3–6 months · ₹30,000–60,000/month · PPO opportunity.

- **Team:** Engineering
- **Location:** Bengaluru, in office
- **Duration:** 3–6 months
- **Stipend:** ₹30k–60k/month (stipend is based on interview performance)
- **Opportunity:** PPO (a full-time pre-placement offer)

### About Vel Labs

Vel Labs is a small team building personal intelligence: technology that remembers, understands and
grows with the people it serves. Our first product, Sola, is a companion that learns how you think
and helps you live more intentionally.

### About the role

We’re building at the intersection of AI and consumer technology, and we’re looking for an Applied
AI Intern to design, build and ship LLM-powered systems to production with the rigour of a full-time
engineer.

You’ll work with the founders and the core AI team on a conversational product people use every day
across text, voice notes, images and real-time calls. This role goes beyond prototypes: you’ll own
systems that run on live traffic and answer for their quality, reliability and latency.

### What you’ll do

- Design and improve multi-step LLM pipelines: context assembly, planning and structured prompts
- Build long-term memory and retrieval, and decide what context reaches the model on each turn
- Implement agent tools with clear contracts, timeouts, retries and failure behaviour
- Work on multimodal and real-time voice systems where latency, streaming and interruptions matter
- Define evals, build eval sets and use traces and production data to fix quality regressions

### What we’re looking for

- Strong TypeScript or Python, and comfort working in both
- Hands-on experience building on LLM APIs: structured outputs, tool calling and streaming
- A solid grasp of async programming: concurrency, cancellation, timeouts and error handling
- Working knowledge of REST APIs, SQL and Git, and a habit of testing for edge cases
- Shipped work we can review: projects, open-source contributions or prior internships
- **Nice to have:** Agents, retrieval or memory systems, LLM evals, or speech and vision models.

### Why join us

- **High ownership:** Own production AI systems that directly shape the user experience.
- **Founder access:** Work closely with the founders on technical and product decisions.
- **End-to-end exposure:** Work across model integration, system design, evals, deployment and
  monitoring.
- **Engineering rigour:** Work in a codebase held to high standards for testing, review and
  observability.
- **Growth:** Exceptional performance can lead to a full-time pre-placement offer.

### How to apply

If you have a strong engineering foundation, a serious interest in applied AI and the discipline to
take systems all the way to production, we’d love to hear from you. Use the application form at
`/careers/apply?role=applied-ai-intern`, or email careers@vellabs.in with a link to your work and a
short note on why you’d be good at this role.