Lead Engineer - Full Stack (AI)

What will I be doing ?Own the end-to-end development and technical success of one or more product modules, delivering exceptional customer experiences.Design, build, and evolve highly scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React capable of supporting 2–4× annual business growth.Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment.Own the complete software lifecycle—from design and implementation through code reviews, testing, deployment, monitoring, and continuous improvement.Leverage modern AI-assisted development tools (e.g., Claude Code, Cursor) throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code reviews.Apply sound engineering judgment to determine where AI-generated output can be trusted and where human expertise is essential, particularly in areas involving security, data integrity, architecture, compliance, and customer-critical workflows.Build reusable engineering assets—including prompts, workflows, templates, and automation—that improve the productivity and effectiveness of the broader engineering team.Continuously improve engineering velocity, code quality, reliability, and developer productivity through automation and AI-native engineering practices.

What skills do I need?10+ years of experience designing and building enterprise-scale SaaS applications using Microsoft technologies (.NET/C#, REST APIs, SQL Server/NoSQL) and modern UI frameworks such as Flutter or React.5+ years of experience building highly available, massively scalable, distributed cloud services (AWS or Azure)Strong system design, analytical thinking, and problem-solving skills with the ability to own complex technical problems.Hands-on experience using modern AI-assisted development tools (e.g., Copilot, Claude Code, Cursor) in a production environment.Strong engineering judgment to critically review AI-generated code, especially in areas involving security, performance, scalability, reliability, and data integrity.Excellent communication and collaboration skills.Comfortable working in a fast-paced, continuously evolving product organization.Experience building developer productivity tooling, prompt libraries, reusable workflows, MCP servers, or AI-enabled engineering automation is a plus.Exposure to Flutter for mobile application development is a plus.Passion for continuously learning emerging AI-assisted engineering practices and applying those that create measurable customer and engineering value.