Python AI Developer Intern (вакансія неактивна)

📍 Remote | ⏱ 15–20 hrs/week | 📅 3 + 3 months | 🇺🇦 Ukrainians Only

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ABOUT QANTUM

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.

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THE ROLE

Role focus: Python Backend Developer Internship (AI-powered product)
This is a programming-first role, not an AI research or AI engineer position.
The core of the job is generating code, building APIs, and shipping features.

Type: Unpaid Internship (Remote)
Time: 15–20 hours/week (flexible schedule, fixed commitment)
Duration: 3 + 3 months

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 programming role.
Consistency and commitment are required.

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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

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REQUIRED SKILLS

Must have:
Python basics (variables, functions, classes, loops)
FastAPI or any web framework
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):
Swagger
Basic understanding of LLMs
Personal projects on GitHub

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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

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WHAT YOU GET

Learning & Mentorship
Biweekly 1:1 sessions with the CTO
Claude Max Subscription
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

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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

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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.

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APPLICATION PROCESS

1. Initial Chat: 30 minute call to discuss your background and interests
2. Technical Discussion: 60-minute conversation about your projects and technical interests.
Live codding is mandatory! (FastApi)
3. Trial Task (Optional): Small, realistic task to see how you work (paid time)
4. Offer: Welcome to the team!
Timeline: We aim to complete the process within 2 weeks of your application.

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APPLY

Send:
Resume / CV
GitHub or portfolio link
2–3 sentences: why QAntum?

We review applications weekly. Response within 5 days.