Six months. Real projects. Real impact.
Work on AI systems that ship — agentic pipelines, LLM applications, speech AI, and production MLOps — alongside the lab's researchers and engineers.
Agentic AI Systems
Multi-agent orchestration pipelines using CrewAI, AutoGen, and n8n.
LLM Applications
Production LLM integrations with hallucination detection and structured logging.
RAG Pipelines
End-to-end retrieval-augmented generation with vector search (Pinecone, Qdrant).
Speech AI
Vocal fatigue scoring, speaker verification, and audio embedding systems.
MLOps
Containerization, CI/CD, cloud deployment, and production monitoring.
Production Deployment
FastAPI, Docker, and GitHub Actions — real infrastructure, not toy servers.
We care more about how you think than how many frameworks you know. The list below is a floor, not a ceiling.
Python
Comfortable writing clean, well-structured Python.
ML fundamentals
Understanding of core machine learning concepts and common architectures.
Git & GitHub
Branching, PRs, commit discipline — collaborative workflow.
Problem-solving mindset
Able to debug independently and read documentation.
Strong learning orientation
You want to get better, not just get through tasks.
The things that actually matter when you need to prove yourself to the next team.
Mentorship
Direct, weekly access to the lab founder — not a ticket queue.
Real projects
Code that ships to real users: libraries on PyPI, APIs in production, papers under review.
Open-source credit
Your name on contributions — GitHub history, model cards, library changelogs.
Research exposure
Potential co-authorship on lab publications if your contribution reaches that level.
Certificate of completion
Issued at the end — but the GitHub history is the real proof.
Five steps, no surprises.
- 01
Apply
Submit the application form — 10 minutes, honest answers.
- 02
Review
We read every application and reply within one week.
- 03
Assessment
A short technical task relevant to actual lab work.
- 04
Interview
A direct conversation with the lab founder about your goals and the work.
- 05
Selection
Scope, timeline, and start date agreed. No trailing paperwork.
Apply now. We read every submission.
Takes about 10 minutes. Tell us what you want to build and why the lab is the right place to build it.