QAntum is an AI-powered test intelligence platform. We’re building the first platform that automatically analyzes codebases and tells teams which tests to write and where.
Most engineering teams have inverted test pyramids — 50%+ E2E tests when they should have ~10%. This costs $500K+ per year in slow CI pipelines and flaky tests. We’re fixing this with AI.
We’re currently building our POC and looking for committed learners to join us at an early stage.
Internship structure: The first 3 months are mandatory. After completing the first 3 months, the intern can choose to: — continue for an additional 3 months, or — finish the internship after the initial period.
Reports to: CTO Mentorship: Direct 1:1 with CTO (10+ years experience)
This is a learning-first position. We’ll teach you production AI development from scratch, but we expect consistency and commitment.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT YOU’LL LEARN
Month 1: Foundations Python best practices for production code FastAPI fundamentals — building your first APIs Introduction to LLMs and prompt engineering Git workflow and code review process
Month 2–3: AI Development RAG (Retrieval-Augmented Generation): how it works and how to build it Vector databases and embeddings Integrating LLMs into backend services Cloud deployment basics
Month 4–6 (optional extension): Production Features Build real features for our platform Architecture design sessions Performance optimization Your code goes to production
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
REQUIRED SKILLS
Must have: Python basics (variables, functions, classes, loops) Ability to Google, ChatGPT and learn independently English (reading docs, async communication) Availability of 15–20 hours/week for at least 3 months
Nice to have (but we’ll teach you): FastAPI or any web framework Basic understanding of LLMs Personal projects on GitHub
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT WE’RE REALLY LOOKING FOR
Forget “passionate, self-motivated team player” clichés. What actually matters:
You finish what you start — show a completed project, not 10 abandoned repos You ask questions — we’d rather explain three times than have you stuck for days You’re honest — if you don’t know something, say it You’re available — consistent 15–20 hours/week for the full first 3 months
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT YOU GET
Learning & Mentorship Biweekly 1:1 sessions with the CTO Code reviews with detailed feedback Architecture discussions Real production experience
Career Value Portfolio with deployed AI features you built Reference letter from CTO (after successful completion) LinkedIn recommendations Top performers: paid role or equity when we raise
What we DON’T offer Money (yet) — unpaid, pre-funding stage Hand-holding — we teach, but you put in the work Busywork — real code only
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
THE TEAM
CEO — 15+ years in product and enterprise software CTO — 10+ years building scalable systems and AI (your mentor) QA team — 2 engineers You — our first developer hire
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
FAQ
Why unpaid? We’re pre-funding and building a POC. We trade strong mentorship and real experience for your time.
Is the full 6 months mandatory? No. The first 3 months are mandatory. After that, you decide whether to continue for another 3 months or finish the internship.
Can this become a paid role? Yes. We’re applying to YC and Alchemist. Strong performers may receive paid offers or equity when we raise.
I don’t know RAG or LLM yet. That’s expected. Python basics plus willingness to learn is enough to apply.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
APPLICATION PROCESS
1. Apply: Send your resume, GitHub/portfolio, and brief intro 2. Initial Chat: 30 minute call to discuss your background and interests 3. Technical Discussion: 60-minute conversation about your projects and technical interests. (Live codding possible) 4. Trial Task (Optional): Small, realistic task to see how you work (paid time) 5. Offer: Welcome to the team! Timeline: We aim to complete the process within 2 weeks of your application.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
APPLY
Send: Resume / CV GitHub or portfolio link 2–3 sentences: why QAntum?
We review applications weekly. Response within 5 days.
