ClearRoute
AI Enabled Full Stack Engineer
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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 views
- Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction
- Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it
- Contribute to backend development (Python/FastAPI) where required
- Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams
- Collaborate with UX/UI to ensure accurate implementation of designs
- Ensure performance, security, and maintainability, with a testing-first mindset
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Required Experience
- Strong experience with React and modern JavaScript/TypeScript
- 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation
- Experience building web applications with API integrations
- Working knowledge of Python (FastAPI a plus) for backend/API development
- Familiarity with REST APIs and microservices architecture
- Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports)
- Experience with version control and CI/CD practices
- Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers)
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Desirable Experience
- Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks)
- AWS native development and deployment experience
- Policy-as-code expertise
- Snowflake or data-product experience (producing and consuming)
- Data visualisation libraries (charts, dashboards)
- Authentication and RBAC implementation
- Experience building developer platforms, golden paths, or internal tooling
Company Benefits
- Profit share
- Private Health Insurance (for employee & dependants)
- Private Pension Scheme
- 50% subsidy of gym membership
- 26 days holiday + public holidays
- Life Assurance
- Electric Car scheme
- Wellbeing support platform
- L&D annual budget per employee
Interview Process
- Screening Interview
- Technical Interview
- Cultural Interview
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Jessica, London
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