Product Engineer (Senior)

Overview

As a Product Engineer at Accurx, you will own features end-to-end, collaborating with clinicians and product managers to shape architecture and rollout. You’ll engage with NHS GPs and practice staff to understand problems, design scalable APIs, and ensure reliable, clinician-friendly software in a healthcare context. You’ll balance feature delivery with system health and coaching teams toward sustainable decisions. This role blends product thinking with engineering judgment to push the boundaries of AI-assisted healthcare tooling.

Pay / Benefits

• flexible working
• office in Shoreditch 3 days a week
• 28 days holiday plus bank holidays
• up to 4 weeks remote work per year
• enhanced parental leave, fertility support, parental loss support
• chef with free meals

Responsibilities

• Own features end-to-end from problem refinement to rollout and evolution
• Engage with NHS GPs, practice staff and patients to understand problems through research sessions
• Design architecture and API boundaries with system-wide considerations
• Maintain high quality and safety standards for clinical context software
• Make architectural decisions to keep the codebase sustainable while shipping features
• Push back constructively when needed and commit fully when decisions are made
• Shape work by starting from user problems and guiding execution across teams
• Experiment with AI tools while applying prudent judgment

Key requirements

• Experience building production software across the stack (backend or frontend, capable of end-to-end ownership)
• Strong ability to reason about systems, break down ambiguity, and anticipate trade-offs
• Comfort with ambiguity and early-stage problem definition
• Commitment to engineering quality, managing technical debt, and critiquing AI outputs
• Curiosity about AI tools and when to rely on them
• Strong domain expertise in at least one area and ability to apply it to real systems
• Ability to influence across teams and own outcomes beyond tasks
• Willingness to learn and experiment with AI features in a health tech context

• user-centered problem solving
• cross-functional collaboration
• ownership and accountability
• C# (backend)
• TypeScript
• React

…