Full-stack Engineer, AI Applications

The Institute

Ai And Digital Science Research Centre

Duties & Responsibilities

• Design and implement end-to-end AI applications, building responsive frontends and robust backend services that surface Falcon and other foundation models to real users.
• Create intuitive, production-grade user interfaces for AI products such as chat experiences, document workflows, analytics dashboards, and admin tools that make complex AI capabilities feel simple.
• Integrate LLM and agentic capabilities into application flows, including streaming responses, function and tool calling, citation rendering, and human-in-the-loop interactions.
• Build and maintain APIs, orchestration layers, and data flows that connect AI services to enterprise systems, authentication providers, and external integrations.
• Own non-functional requirements across the full stack, including performance, accessibility, error handling, and observability.
• Collaborate closely with AI engineers, product owners, designers, and client-facing teams to iterate quickly from prototype to production.
• Establish and evolve frontend and full-stack engineering standards across the center, including reusable component libraries, design systems, and testing practices.

Job Specification

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
• 2 to 8 years of hands-on experience building and shipping production full-stack web applications.
• Strong proficiency in modern frontend development: React (or equivalent), TypeScript, modern CSS, state management, and component-based architecture.
• Strong backend skills in Python (FastAPI, Flask, or similar), including REST API design, async patterns, and integration with databases and external services.
• Practical experience building AI-powered or LLM-powered applications, including streaming, tool use, and conversational UX patterns.
• Solid understanding of authentication, authorization, and enterprise integration patterns (OAuth/OIDC, SSO, role-based access control).
• Comfort with containerized deployment (Docker, Kubernetes), CI/CD pipelines, and modern DevOps workflows.
• Strong product sensibility and the ability to translate ambiguous requirements into shipped, polished features.
• Excellent communication skills in English (Arabic is a plus), with the ability to work directly with internal stakeholders and enterprise clients.

Additional Skills

• Patents.
• Publications in top-ranking conferences and journals, such as CHI, UIST, ICML, NeurIPS, ICLR, KDD, VLDB, AAAI, and ACL, to cite a few.
• Open source contributions, particularly to UI libraries, design systems, or AI developer tooling.
• Experience with real-time interfaces (WebSockets, server-sent events) for streaming AI responses and live collaboration features.
• Strong design sensibility, with prior experience working closely with designers or shipping work that has gone through serious design review.
• Experience building Arabic-language or bilingual (Arabic and English) user interfaces, or deploying AI applications in regulated industries.