Product Engineer (Full-stack, AI-assisted) | WFH

About the role

We’re moving towards a model where engineers own features end-to-end.

With AI speeding up implementation, coding is no longer the bottleneck. The focus has shifted to understanding problems, shaping solutions, managing dependencies, and delivering high-quality outcomes.

We’re looking for senior engineers who are comfortable taking a feature from idea → plan → build → test → release, while working closely with stakeholders and product teams.

What you’ll be doing

• Own features end-to-end (planning → implementation → testing → handover)

• Work directly with product, design, stakeholders, and other teams to understand requirements

• Break work into vertical slices that deliver real user value

• Create clear implementation plans (approach, edge cases, risks, dependencies)

• Build across .NET (backend) and React (frontend)

• Use AI tools (Claude, Copilot, etc.) to accelerate development

• Write and maintain automated tests (Playwright for E2E)

• Demo early, gather feedback, and iterate quickly

• Identify and manage dependencies proactively to avoid rework

Solid system design & engineering fundamentals

• Experience designing and building scalable, maintainable systems

• Strong understanding of APIs, data flow, and application architecture

• Able to make pragmatic design decisions balancing short-term delivery with long-term maintainability

Strong product mindset

• Comfortable engaging with stakeholders and asking the right questions

• Able to understand the “why” behind a feature

• Can work with ambiguous requirements and shape them into clear solutions

End-to-end ownership

• Can take a loosely defined feature and drive it through to delivery

• Doesn’t rely on fully defined tickets to get started

• Takes accountability for both outcome and quality

Strong slicing and planning skills

• Can break down features into well-sized vertical slices (~1–2 day chunks)

• Keeps work small enough to review and test effectively

• Avoids both over-granular tasks and overly large “epic-sized” work

Quality-first mindset

• Builds with testing and reliability in mind

• Experience with unit, integration, and E2E testing (Playwright preferred)

• Thinks through failure scenarios, not just happy path

Dependency and change management

• Proactively identifies dependencies across teams or systems

• Flags risks early and works to minimise rework

• Comfortable operating in environments where things change mid-stream

Desirable - AI-assisted development (practical, not theoretical)

• Experience using tools like Claude Code, GitHub Copilot (or similar)

• Treats AI as an accelerator — validates output, handles edge cases, and maintains code quality

• Uses AI to speed up delivery without increasing risk