Full-Stack Engineering Intern (AI / RAG / Test Automation)

AxioQA

Що робити

You will contribute across the full stack on real, shipping features. Typical tasks from our current backlog:
Backend: build and extend FastAPI endpoints under PostgreSQL Row-Level Security, write Pydantic schemas, psycopg2 repositories, and database migrations.
Frontend: build Vue 3 views, manage Pinia state, implement real-time LLM token-streaming consumers, and cover them with tests.
RAG / LLM plumbing: work on hybrid retrieval (vector + BM25), re-ranking, and the ticket → test-case → Playwright-autotest generation pipeline.
Feature delivery, spec-first: e.g. a pre-generation analysis endpoint with its UI, orchestration controls, or a per-tenant GitLab CI pipeline trigger.

~1.5+ year of hands-on experience (professional, internship, or serious personal projects) with Python and TypeScript.
Solid programming fundamentals: data structures, control flow, functions, error handling.
Comfortable reading and understanding an existing codebase you did not write.
Ability to write a basic automated test for your own code.
Working knowledge of Git (branch, commit, push, open a PR/MR).

We can’t pay money at pre-seed, so here is what we give instead:
Real work in a real company — live product, real Scrum sprints, real code review, your code in production.
Daily mentorship from the CTO & Co-founder — you learn on the job, on real tasks, as you go.
We teach you to engineer with AI, properly: agent orchestration, harnesses, context engineering, spec-driven development, and our internal TeamBrain knowledge system. You leave able to apply all of it independently, on any codebase — genuinely strong at AI-assisted engineering, at a level most developers are not.
A Claude Code subscription at our expense, plus the same tooling the founders use.

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