Full-Stack AI Intern

Full-Stack AI Intern About the Internship Join a fast-paced team operating at the intersection of finance and technology , building real products that enhance investment workflows and decision-making. You’ll work on projects spanning development , and artificial intelligence - shipping production-ready features, prototyping AI-powered tools, and independently crafting polished interfaces in Figma . This role is ideal for a creative technologist who enjoys moving from concept to design to code with equal confidence. What You’ll Do Build end-to-end features: Design, develop, test, and deploy full-stack product increments (front end, back end, and data) that improve internal tools and client-facing experiences. Design with intent: Own UI/UX from brief to delivery - including wireframes, interactive prototypes, and high-fidelity designs in Figma , along with lightweight design systems and component libraries. Apply AI pragmatically: Experiment with and integrate AI/ML models (including LLMs) to solve meaningful problems - from rapid prototyping to production-ready solutions. Validate with data: Analyse datasets, perform model and feature validation, and use insights to refine both product and design decisions. Collaborate widely: Work closely with the AI Analyst, Head of Technology, and wider teams to define requirements, shape solutions, and deliver impactful outcomes. Ship reliably: Contribute to code reviews, testing, documentation, and deployment workflows; monitor feature performance and iterate quickly based on feedback. Keep learning: Stay up to date with the latest in AI/ML, modern web frameworks, and UX best practices — and share your learnings with the team. What You’ll Bring Full-stack fluency: Experience building web applications using JavaScript/TypeScript with a modern front-end framework (e.g. React or Next.js ) and a back-end/runtime (e.g. Node.js or Python ). Proven Figma experience: Demonstrated hands-on experience using Figma to design complete user interfaces - including wireframes, prototypes, and high-fidelity mock-ups. You should be comfortable working independently in Figma, defining reusable components, and maintaining visual consistency. AI foundations and curiosity: Practical exposure to Python for data or machine learning, familiarity with frameworks such as PyTorch or TensorFlow , and a genuine enthusiasm for applying AI to real-world problems. Data and quality mindset: Confidence working with APIs, JSON, and databases (SQL or NoSQL); ability to write clean, testable code and make decisions grounded in data. Communication and ownership: Strong written and verbal communication skills, a collaborative mindset, and the initiative to take ownership of design and engineering tasks from start to finish. Eligibility (UAE): Applicants must hold a valid UAE Dependents Visa or Golden Visa . Portfolio links: Please include GitHub or project links, and examples of your Figma work (case studies, prototypes, or live designs). Preferred Qualifications Advanced Figma skills: Experience building design systems , maintaining component libraries , using auto layout , and conducting usability testing or user feedback sessions within Figma. Experience with Next.js , React Query (TanStack) , Tailwind CSS , or component-driven development (Storybook). Back-end experience with Node.js/Express or Python/FastAPI , and understanding of REST or GraphQL APIs. Familiarity with LLMs , retrieval-augmented generation (RAG) , vector databases , or AI model deployment. Exposure to cloud platforms (AWS, GCP, or Azure), containers , or serverless architectures . Interest in finance or investment technology. Experience designing and testing end-to-end digital experiences (including accessibility, responsiveness, and cross-platform consistency). Why This Role Real impact: Work on products and AI prototypes that directly influence investment processes. End-to-end ownership: See your designs come to life through your own code - from concept to deployed feature. Mentorship and exposure: Collaborate with experienced engineers, designers, and analysts across multiple disciplines. Portfolio-ready outcomes: Build a tangible record of full-stack and design work that demonstrates real-world results. Learning and innovation: Gain experience with AI integration patterns, design reviews, and product strategy in a collaborative, growth-oriented team. How to Apply Send your CV, along with links to your GitHub (or equivalent) and Figma portfolio.