Full-Stack AI Intern

Full-Stack AI Intern 

About the Internship

Join a fast-paced team operating at the intersection offinance and technology, building real products that enhance investment workflows and decision-making.

You’ll work on projects spanningdevelopment, andartificial 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 fromconcept 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 integrateAI/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 usingJavaScript/TypeScript with a modern front-end framework (e.g.React orNext.js) and a back-end/runtime (e.g.Node.js orPython).
• Proven Figma experience: Demonstratedhands-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 toPython for data or machine learning, familiarity with frameworks such asPyTorch orTensorFlow, 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 validUAE Dependents Visa orGolden Visa.
• Portfolio links: Please includeGitHub or project links, and examples of yourFigma work (case studies, prototypes, or live designs).

Preferred Qualifications

• Advanced Figma skills: Experience buildingdesign systems, maintainingcomponent libraries, usingauto layout, and conductingusability testing oruser feedback sessions within Figma.
• Experience withNext.js,React Query (TanStack),Tailwind CSS, or component-driven development (Storybook).
• Back-end experience withNode.js/Express orPython/FastAPI, and understanding of REST or GraphQL APIs.
• Familiarity withLLMs,retrieval-augmented generation (RAG),vector databases, or AI model deployment.
• Exposure tocloud platforms (AWS, GCP, or Azure),containers, orserverless architectures.
• Interest infinance or investment technology.
• Experience designing and testing end-to-end digital experiences (including accessibility, responsiveness, and cross-platform consistency).
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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 yourGitHub (or equivalent) andFigma portfolio.