Senior Full Stack Engineer - Reactjs or Vuejs or Angularjs - C# .NET - AI - LLM - GenAI - ML

As a Senior Full Stack Engineer
, you ll join a small, high-impact team building AI-powered features for their products. You will be building systems that automate end-to-end workflows from document processing through to statutory filing to make a real impact on tens of thousands of our customers.

Working in a self-contained squad with the autonomy to make commercial and technical decisions without being weighed down by bureaucracy, you ll be responsible for architecting and building production-grade AI solutions that solve real problems for our users. As a senior member of the team, you ll set technical direction, mentor others, and drive quality across the full stack.

• Collaborate closely with the AI platform team to design and deliver compelling AI-first features and products
• Integrate AI capabilities seamlessly into existing products, ensuring smooth user experiences
• Build responsive, intuitive UI components that make complex AI functionality accessible to end users
• Optimize AI service performance, cost, and reliability in production environments

• Architect and implement scalable, production-ready AI-powered applications from front-end to back-end
• Design and build performant, secure back-end services that integrate with our AI platform
• Lead technical decision-making within your squad, balancing innovation with pragmatic delivery
• Drive best practices in code quality, testing, security, and observability

• Write clean, maintainable, well-tested code with comprehensive documentation
• Configure and maintain CI/CD pipelines with automated testing and deployment

• Full stack software engineering experience building production applications for the web.
• Proven production experience building software powered by LLMs/GenAI/ML models - not demos or prototypes, but real systems serving users
• C# .NET for back-end services
• RESTful API design and implementation
• HTML5, CSS3, and responsive design principles
• Cloud platform experience with Azure, AWS, or GCP
• Production systems mindset including observability, testing, security, and reliability
• Strong collaboration and communication skills working effectively with technical and product stakeholders
• Architectural thinking - ability to design scalable systems and make strategic technical decisions