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