AI Engineer Front End

My Financial Services client is seeking to recruit an AI Engineer (front end) on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. This is a development-heavy position focused on delivering production-ready user interfaces for AI-powered tools and GenAI applications. You'll work in a greenfield, lab-first environment to prototype, iterate, and deploy solutions that meet the highest standards of performance, security, and compliance in a regulated financial setting. Accountabilities & Responsibilities • Design and develop modern, responsive front-end applications from the ground up using React, TypeScript, and Next.js. • Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. • Implement advanced front-end security features including token handling, session management, data masking, and audit logging. • Translate UX/UI designs into modular, reusable components aligned with enterprise design systems. • Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. • Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. • Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. • Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. • Participate in code reviews, technical design discussions, and architecture planning sessions. Required Knowledge, Skills & Experience • Proven experience building secure, production-grade front-end applications in regulated environments (e.g., finance, healthcare, government). • Strong proficiency in modern JavaScript/TypeScript frameworks (React, Next.js) and responsive UI development. • Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. • Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. • Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. • Deep understanding of front-end security practices (e.g., OWASP, CSP, input sanitization, role-based access). • Familiarity with secure API design, token management, and data privacy obligations (e.g., GDPR, ISO 27001). • Ability to build modular, reusable components aligned with enterprise design systems (e.g., MUI, Tailwind). • Exposure to secure SDLC practices, cyber risk assessments, and security posture reporting. • Comfortable working in agile, cross-functional teams with product managers, AI engineers, and cloud architects. Technical Skills & Technologies: • Languages & Frameworks: React.js, TypeScript, Next.js, HTML5, CSS3, Tailwind CSS • UI Libraries: MUI, Ant Design, Tailwind CSS, AG Grid, Highcharts or similar • State Management: Redux Toolkit, React Query, Zustand or similar • AI/Cloud Integration: • GCP: Vertex AI Gemini API, Firebase Hosting, Google IAM, Secret Manager • Azure: Azure OpenAI, Azure App Services, Azure AD authentication • Cybersecurity: • CSP headers, XSS/CSRF protection, OAuth2 flows, JWT encryption • Front-end logging for anomaly detection and audit trails • Familiarity with OWASP guidelines and secure SDLC practices • DevOps: GitHub Actions, Docker, Terraform, security scans in CI/CD (e.g., Snyk, Dependabot or similar). • Monitoring: Google Cloud Operations Suite, Azure Monitor