Senior/Lead Qt/QML Engineer with AI Productivity Focus

Hi! We are a Spyrosoft Synergy team specializing in HMI development. We are looking for Qt/QML developers with AI Productivity Focus to work on designing and developing cutting-edge human-machine interfaces for in-vehicle infotainment systems, industry 4.0 solutions, and more. 🦾 Your Role & AI Focus • HMI Leadership: Designing and developing high-performance UIs using Qt/QML and C++. • AI-Driven Workflow: Using AI agents and tools to conduct rapid technical research, automate repetitive coding tasks, and optimize the development lifecycle. • Smart Design: Leveraging AI to assist in UI/UX prototyping and "AI-first" problem-solving. • Mentorship: Guiding the team on how to effectively (and safely) integrate AI tools into their daily work. • Client Collaboration: Gathering requirements and translating them into modern, scalable architectures. 👷‍♂️ Qualifications: • 5+ years of professional experience in software development. • Strong C++ skills (including modern standards). • Commercial experience in QML cross-platform development (min. 1 year). • Proven track record in developing Qt-based GUI applications. • AI Tooling Fluency: Practical experience in using AI agents, LLMs, and prompting for research, code generation, and debugging. • Architectural Mindset: Deep understanding of design patterns and clean code. • English C1: High proficiency in written and spoken English for seamless client communication. 🦾 AI Tooling Fluency & Augmented Engineering We are looking for an engineer who treats AI as a strategic partner in the software development process. Your expertise should include: • Agentic Workflows & Tool Chaining: Ability to design and build custom AI agent chains to automate complex engineering workflows, from multi-step technical research to generating validated architectural blueprints. • Advanced Research & Technical Analysis: Proficiency in using LLMs for rapid analysis of complex Qt/C++ documentation and technical specifications. • AI-Driven Code Generation: Hands-on experience in generating QML boilerplate, complex UI components, and C++ business logic using modern AI assistants (e.g., Cursor, GitHub Copilot). • Intelligent Debugging & Refactoring: Leveraging AI to analyze logs, detect memory leaks, and suggest performance optimizations for high-stakes HMI interfaces. • Strategic Prompt Engineering: Mastery of high-context prompting to elicit secure, production-ready code that aligns with established architectural patterns.