Senior AI-First .NET Engineer

Requirements

• Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants 
• Ability to create custom skills and sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution 
• Strong prompt engineering skills; able to produce reliable, high-quality output and critically evaluate AI-generated results 
• Production-grade .NET / C# (REST APIs, middleware, dependency injection) with solid understanding of OAuth 2.0, OpenID Connect, and JWT 
• Deep proficiency in JavaScript and TypeScript  
• 2+ years of hands-on production experience with React  
• Strong grasp of state management, asynchronous patterns, and frontend testing 
• Confident designing systems across monoliths, microservices, and distributed architectures 
• Working knowledge of DDD, CQRS, Event Sourcing, and event-driven systems, including message brokers (Kafka, RabbitMQ, Azure Service Bus, or similar) 
• Hands-on use of Docker and working knowledge of Kubernetes, along with CI/CD pipelines (GitHub Actions or similar) 
• Experience with cloud platforms
• Solid background with SQL databases and ORMs; familiarity with NoSQL is a plus 
• Additional exposure to Python, Java, or Node.js is highly desirable 
• Clear communication skills in English

We are looking for a Senior AI-first Engineer with strong technical skills and a hands-on approach to AI-assisted development. You will work on diverse client projects, from modernizing legacy systems to building new products. The ideal candidate has a proven, personalized AI workflow with custom skills, reusable prompts, and project-level guidelines — beyond standard tool usage.

We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions.

Responsibilities

1. Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability 
2. Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research 
3. Contribute to architecture decisions: technology choice, system design, trade‑offs
4. Conduct code reviews and uphold engineering best practices
5. Proactively identify risks, bottlenecks, and security issues and propose solutions
6. Work directly with clients in English.
7. Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing 
8. Stay up to date with AI tooling and share insights with the team