Senior AI-First Engineer

Godel Technologies Europe is a software engineering company headquartered in Manchester, UK, with over 1.5k employees across Europe and 1.2k in Poland across five offices. They deliver agile at scale and build mission critical products for leading UK brands. Their clients include SHELL Energy, the Gym Group, Secret Escapes, ao.com, DealTrak, and theidol.com. They provide services including software development, artificial intelligence, mobile app development, quality management, platform engineering, data engineering and analytics, UX/UI design, agile software development, product and business analysis, advisory, legacy transformation, and penetration testing.

• 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
• 4 years of experience in a similar position

• Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability
• Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research
• Contribute to architectural decisions including technology selection, system design, and trade-off analysis
• Conduct thorough code reviews and uphold engineering best practices across the team
• Identify risks, bottlenecks, and security concerns proactively and propose solutions
• Work directly with clients in English
• Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing
• Stay current with AI tooling developments and contribute findings to the broader team