Software Engineer (Applied AI, React, TypeScript, Node.js)

About the role

Hands-on Software Engineer with strong AI engineering capabilities who can build production AI systems and work directly with the teams using them. Role spans full-stack development, LLM applications, evaluation, observability, deployment, and customer-facing technical delivery.

Key responsibilities

• Design, develop, and maintain high-quality features and services for government product teams, ensuring accessibility and performance.
• Develop full-stack features across frontend, backend, APIs, data, and AI systems.
• Design and build production-grade applied AI-powered applications and developer tools.
• Utilise CI/CD pipelines to ensure seamless, reliable, and high-quality deployments.
• Develop and maintain technical documentation, including API specs, troubleshooting guides, and system architecture diagrams.
• Translate customer feedback and production issues into reusable product improvements.
• Work alongside Product Management to provide L1/L2 support to customers we serve.
• Work directly with government teams on discovery, demos, Proof-of-Concepts, architecture discussions, onboarding, integrations, and troubleshooting.
• Gain knowledge debugging and remediating WCAG accessibility issues on production websites.

About you

• Proven experience in designing and building scalable, reliable, and maintainable software systems.
• Strong proficiency in modern software development (e.g., React.js, TypeScript, Node.js) and deep understanding of browser architecture.
• Build LLM workflows using RAG, tool calling, structured outputs, agents, and human-in-the-loop patterns.
• Build evaluation pipelines using golden datasets, regression tests, deterministic evaluators, and LLM-as-a-judge.
• Implement observability, monitoring, guardrails, fallbacks, and validation for reliable AI systems.
• Balance model quality, latency, reliability, maintainability, and cost.
• Maintain automated tests, CI/CD pipelines, and technical documentation.
• Hands-on experience with quality engineering practices, including automated testing (unit, integration, E2E) and test automation frameworks.
• Solid grasp of CI/CD, infrastructure concepts, and agile engineering practices.
• Strong troubleshooting and debugging skills, with ability to analyze complex system behaviors and logs.

About us

Our Client's vision is for all government digital services to be inclusive and accessible, regardless of a person's ability or disability. As part of a central government initiative, we support government digital teams with the tools, platforms, technical capabilities, and expertise needed to embed accessibility throughout the software development lifecycle. We build developer tools, automated accessibility solutions, and applied AI-powered capabilities that help teams identify, understand, and remediate accessibility issues at scale.