Full-Stack Engineer (Next.js / NestJS / Python / AI)

Digia — we build applications, both AI and non-AI.

We're looking for a strong full-stack engineer who cares about fundamentals, not just frameworks. If you can reason about data structures, algorithms, and system design — and write clean, maintainable code across the stack — we want to talk.
 

Just as important: you're fluent with AI as a tool. You know how to direct AI coding agents to build real software, use it to research and unblock yourself fast, and you have the judgment to review and trust-but-verify what it produces. We treat AI fluency as a core skill, not a novelty.
 

This is a role to grow in. You'll go deep on building software with AI effectively, and you'll build AI-powered applications — so a genuine appetite to learn and push the edge of what these tools can do matters as much as what you already know.

What you'll do

- Build and ship full-stack features end-to-end: frontend (Next.js/React), backend (NestJS), and services in Python

- Design and optimize data models across both SQL and NoSQL stores

- Own pieces of the system from API design through deployment — including CI/CD pipelines and AWS infrastructure

- Write code that's tested, readable, and built to be maintained by the next person

- Use AI coding agents and tools to move faster — directing them effectively, then reviewing and verifying the output

- Build AI-powered applications and features as part of our product work

- Participate in code reviews, technical discussions, and architectural decisions

Must have

- Strong grasp of programming fundamentals: data structures, algorithms, OOP, and clean code principles

- Solid full-stack experience with TypeScript/JavaScript — Next.js on the frontend, NestJS on the backend

- Python for services, scripting, or data work

- Comfortable with both relational (SQL) and NoSQL databases — and knowing when to use which

- Hands-on with AWS and building/maintaining CI/CD pipelines

- Ability to work independently and own features end-to-end

- Strong AI fluency: hands-on experience directing AI coding agents (e.g. Claude Code, Cursor, Copilot) to build, debug, and ship software, and using AI for research and problem-solving — with the judgment to verify what it produces

- English: [Intermediate / Upper-Intermediate]+ for daily team communication

Nice to have

- Experience with Docker / containerized deployments

- Infrastructure-as-code (Terraform, CDK)

- Testing discipline (unit, integration, e2e)

- Open-source contributions or side projects that show how you think

We offer

- Kyiv Office / hybrid 

- Contract