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Ai Engineer (Fullstack)

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Mad Devs

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Category:
IT - Software Development

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Job Description:

We are looking for an engineer who can work effectively in a complex environment: understand existing systems, improve them carefully, deliver new features, and reduce technical debt without breaking production.

Job Responsibility:

  • Delivering product features end-to-end
  • Working with existing Enji services: understanding, extending, and refactoring them
  • Participating in design sessions with PMs, BAs, and designers: challenging assumptions, proposing alternatives, and estimating implementation complexity
  • Prototyping complex flows in Cursor / v0 before they become formal specifications
  • Addressing technical debt thoughtfully and with clear reasoning
  • Reviewing pull requests from other developers, including juniors and mid-level engineers

Requirements:

  • 3+ years of commercial software development experience
  • 1+ year in AI engineering
  • Production experience with Python (FastAPI or Flask — what matters is real-world usage with migrations, testing, and production deployments)
  • Production experience with Vue 3 (Composition API, TypeScript, reactivity, component architecture). React experience alone does not satisfy this requirement — Vue is the primary frontend framework at Enji, and onboarding speed matters
  • PostgreSQL: migrations, indexing, and basic understanding of query plans
  • Docker / docker-compose — ability to build and run a local stack independently
  • Git proficiency: rebase workflow, atomic commits, meaningful commit messages
  • Hands-on experience using AI tools in day-to-day development (Cursor / Claude Code / Copilot / Codex / others)
  • Language Proficiency: English at B2-C1 level, Russian at C2 level

Nice to have:

  • Quasar — the entire frontend stack is built on it
  • Experience with message buses (NATS / Kafka / RabbitMQ / Redis Streams) — inter-service communication is based on NATS
  • Experience with Clean Architecture or similar patterns (DDD, Hexagonal Architecture)
  • Experience with CASL or other authorization systems
  • Experience with background job processing (Celery, APScheduler, RQ, or any scheduler)
  • Experience with integrations (Slack API, Telegram Bot API, Google APIs, Jira, GitLab webhooks)
  • Experience with LLM integrations — we use UMA, a PM agent, and a continuously growing AI functionality layer
  • Open-source contributions or well-structured pet projects
What we offer:
  • Flexible working hours
  • Remote-first culture
  • Long-term projects
  • Salary in dollars
  • Professional communities
  • Onsite business trips
  • Training budget
  • Paid conferences

Additional Information:

Job Posted:
May 20, 2026

Work Type:
Remote work
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