AI Enabled Full Stack Engineer

Clearroute โ€” United Kingdom ยท Posted ~21 hours ago

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Description

Role: Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities: Develop and maintain front-end components using React for the control plane and audit/compliance/cost viewsBuild responsive, scalable, high-quality UI features for self-service data exploration and platform interactionDrive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking itContribute to backend development (Python/FastAPI) where requiredBuild templated archetypes and golden-path kits that accelerate onboarding and development for other teamsCollaborate with UX/UI to ensure accurate implementation of designsEnsure performance, security, and maintainability, with a testing-first mindset Required Experience: Strong experience with React and modern JavaScript/TypeScript6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigationExperience building web applications with API integrationsWorking knowledge of Python (FastAPI a plus) for backend/API developmentFamiliarity with REST APIs and microservices architectureStrong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports)Experience with version control and CI/CD practicesProactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience: Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks)AWS native development and deployment experiencePolicy-as-code expertiseSnowflake or data-product experience (producing and consuming)Data visualisation libraries (charts, dashboards)Authentication and RBAC implementationExperience building developer platforms, golden paths, or internal tooling Company Benefits Profit sharePrivate Health Insurance (for employee & dependants)Private Pension Scheme50% subsidy of gym membership26 days holiday + public holidaysLife AssuranceElectric Car schemeWellbeing support platformL&D annual budget per employee Interview Process Screening InterviewTechnical InterviewCultural Interview