Kigo - Safer School Run
Senior Full-Stack AI & Data Engineer / Technical Build Lead
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Company Description
Kigo – Safer School Run is focused on transforming the daily school journey into a safer, cleaner, and more efficient experience. With 1 in 4 cars on UK roads during peak hours being school-related, Kigo aims to reduce congestion, emissions, and stress for families. Using real-time data and verified sharing tools, the company enables parents, schools, and local councils to coordinate sustainable, low-emission travel options. Kigo’s platform supports better planning, improved safety around schools, and smarter use of transport resources. Team members contribute directly to a mission-driven product that addresses environmental impact and community wellbeing.
Role Description
The Senior Full-Stack AI & Data Engineer / Technical Build Lead is a full-time remote role responsible for architecting, building, and maintaining Kigo’s end-to-end software and data platform. Day-to-day tasks include:
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- Designing and implementing scalable back-end services and APIs
- Developing responsive front-end interfaces
- Integrating AI and data-driven features into the product
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The role involves:
- Leading technical decision-making
- Owning the build and deployment pipeline
- Ensuring code quality, performance, and security across the stack
The engineer will work closely with product, design, and operations teams to translate user needs into robust technical solutions, while mentoring other engineers and contributing to best practices. This position is ideal for someone who enjoys hands-on coding, technical leadership, and solving complex problems in a mission-led environment.
Qualifications
- Strong Back-End Web Development and Full-Stack Development skills, with experience designing scalable APIs and services.
- Front-End Development and Cascading Style Sheets (CSS) skills, including building responsive, accessible user interfaces.
- Solid Software Development skills, including proficiency in one or more modern languages (e.g., Python, TypeScript/JavaScript, or similar) and familiarity with software engineering best practices.
- Experience with AI and data engineering (e.g., data pipelines, model integration, analytics, and real-time data processing) is highly beneficial.
- Previous experience as a technical lead, including ownership of architecture, code reviews, and mentoring other engineers, is preferred.
- Comfort working in a remote, cross-functional startup environment, with strong communication, collaboration, and problem-solving abilities.
- Familiarity with cloud platforms (e.g., AWS, GCP, or Azure), CI/CD, and modern web frameworks is an advantage.
- A relevant degree in Computer Science, Engineering, Data Science, or equivalent professional experience is desirable.
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