Senior Full-Stack Product Engineer: AI-Driven Compliance

Robusta; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Robusta is seeking a full-stack product engineer to own features from spec to production. You’ll ship front-end heavy surfaces and also handle backend and integrations where needed, ensuring a tight feedback loop with users.

You’ll build interfaces where reviewers interact with model-driven decisions, integrate AI capabilities into critical workflows, and keep a rapid, continuous deployment cadence. Expect close collaboration with design, data science, and ops teams.

Qualifications

• Own product delivery from spec to production with frontend-first scope.
• Develop surfaces for compliance reviewers: workflows and review UIs.
• Integrate AI features where the model is part of the product.
• Ship production changes on day one; deploy continuously.
• Influence roadmap and prioritize next problems.

Responsibilities

• Own product delivery from spec to production, frontend-first but with backend/integration as needed.
• Build compliance reviewer surfaces: workflows and review UIs where model output meets human judgment.
• Partner with AI to ensure features use AI in the critical path, not as bolt-on.
• Ship fast and continuously; you’ll see changes live quickly.
• Shape what we build next and challenge the roadmap when needed.

Skills

Independent delivery

Product trade-off judgement

Product taste

Cross-functional pragmatism

AI literacy

TypeScript & React

Web fundamentals

Tools

Cloudflare Workers

Hono

Drizzle

Postgres

Job description

Robusta is seeking a full-stack product engineer to own features from spec to production. You’ll ship front-end heavy surfaces and also handle backend and integrations where needed, ensuring a tight feedback loop with users.

You’ll build interfaces where reviewers interact with model-driven decisions, integrate AI capabilities into critical workflows, and keep a rapid, continuous deployment cadence. Expect close collaboration with design, data science, and ops teams.