AI-Native Full-stack Engineer

Що робити

Turn product requirements from the product team into specs with acceptance criteria and keep the specs in the repository.
Deliver each feature through spec, technical plan, task breakdown, implementation and verification. - Keep the agent context for the gamification area current: AGENTS.md, CLAUDE.md, skills, slash commands, subagents, MCP.
Cover critical paths with tests, including characterization tests around legacy code, so agents can verify their own work.
Describe the contracts the features depend on (queues, APIs, shared tables) in a machine-readable format.
Work within the team's quality gates: permissions, hooks, automatic lint, AI-assisted code review in GitLab CI.

4+ years of commercial software development, including 3+ years of backend work in Node.js and TypeScript.
1+ year of daily agentic development with Claude Code or a similar tool on real projects: plan mode, subagents, parallel sessions in git worktrees.
At least one spec-driven approach used on a real project (Superpowers, Spec Kit, OpenSpec, BMAD, Kiro or an in-house process).
Ability to write and maintain agent context: AGENTS.md or CLAUDE.md, skills, rules, hooks, permissions.
Solid Vue 3 (Composition API, Pinia). Gamification is player-facing work, so each engineer also builds the UI part of a feature.

iGaming experience, especially bonus mechanics and player engagement features such as missions, tournaments, leaderboards or loyalty levels. Fintech experience (payments, KYC, provider integrations) also counts. Candidates without domain experience still qualify.
Product experiments: feature flags, A/B tests, segmentation, retention and conversion metrics.
Event-driven features built on player events (queues, WebSockets) and integrations with external gamification or CRM services.
PHP and CodeIgniter 3.
NestJS, Fastify, ClickHouse, PostgreSQL.