Our client is a product-focused company building AI solutions for businesses that want to move from experimentation to real operational impact. They work on practical AI adoption, helping clients design and implement intelligent systems that improve workflows, automate manual processes, and create measurable business value in production environments.

They are looking for an AI-Native Full-Stack Engineer with strong engineering fundamentals, including architecture, systems thinking, clean TypeScript, solid data modelling, and experience building real products for real users. This role is for someone who can make technical decisions independently and understands trade-offs without needing close guidance. They need a person who uses AI as a real part of the engineering workflow, not just as a coding assistant. This includes building and managing AI agents for tasks like code review, bug triage, test generation, and routine maintenance. They are looking for someone who understands where AI can truly improve delivery and where it can create unnecessary complexity. This is not a role for someone who sees AI as a shortcut. It is for a pragmatic engineer who uses AI to work faster, think more strategically, and deliver more. In this role, you will own parts of the architecture, contribute to technical decisions, and help set a strong example for more junior engineers.