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.

What will need to do:

• 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

It will be a plus:

• 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

Why Join Us:

At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!