Senior Frontend Product Engineer (JS/React)
Location: Prague
Department: Product Engineering
Location Type: HYBRID
Employment Type: FULL_TIME
The opportunity
Why this matters for your career
AI is how we build
- Agent native architecture standards: clear API contracts, semantic naming, and well-defined module boundaries that keep AI effective as systems grow.
- A context infrastructure layer with repo versioned guidance that AI tools automatically load, improving the output of Cursor, Claude Code, and Codex simultaneously.
- AI agent workflows for on-call and incident resolution: triage alerts, pull logs, surface relevant history, and suggest remediation.
- Systematic optimization of AI code review to catch correctness, security, and maintainability issues earlier.
What you will do
- Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo.
- Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints.
- Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
- Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
- Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone.
About you
- 5+ years of experience building web apps.
- Experience with single page applications built with JavaScript and React.
- Experience with our favorite approaches and frameworks is always welcome (TypeScript, Continuous and Progressive Delivery with Feature Flags).
- A solid understanding of functional programming principles.
- Confident designing frontend architecture and passionate about performance.
- Experience mentoring and helping teammates, doing code reviews and pair-programming.
- Drive to have the editor and tooling set up perfectly.
- The initiative to fix something that's broken, rather than waiting for someone else to do it.
- Able to win a debate on tabs vs. spaces conducted entirely in English.
- Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically.
- Embrace AI as a daily tool in your own workflow. You use AI coding assistants, iterate on prompts, and constantly look for ways to move faster.
- Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale.
Our tech stack
- Frontend: TypeScript, React.js
- Backend: TypeScript/Node.js, Ruby, Kotlin, Kafka
- Storage: Postgres, Elastic, Redis
- Data Pipeline: Python, Keboola, Looker, Snowflake
- Infrastructure: AWS, Kubernetes, Terraform
- Business tools: Slack, Jira, Google suite, Zoom, Notion
- Full Tech Stack
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