NOWE

Senior AI-First 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 who combines deep technical expertise with a genuine, hands-on approach to AI-assisted development. You will work across varied client engagements — from modernizing legacy systems to architecting new products — and are expected to contribute at a high level regardless of project context. The ideal candidate has built a real, personalized AI development workflow — including custom skills, reusable prompt templates, and project-level instructions — and continues to refine it. Out-of-the-box tool usage is not sufficient for this role.

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 architectural decisions — technology selection, system design, and trade-off analysis 
4. Conduct thorough code reviews and uphold engineering best practices across the team 
5. Identify risks, bottlenecks, and security concerns proactively 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 current with AI tooling developments and contribute findings to the broader team