Full-stack Engineer, AI

Technology Innovation Institute (TII) a publicly funded research institute based in Abu Dhabi, the United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

The Artificial Intelligence and Digital Science Research Centre (AIDRC) is the machine learning powerhouse of TII. We work closely with other research centers to harness the full potential of AI across multiple domains— from healthcare and cybersecurity to government and advanced technology systems. We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next‑generation systems with human‑like intelligence.

We build advanced AI computing and scalable AI‑based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

• 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.

• 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), Type Script, 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 Dev Ops 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.

• 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 (Web Sockets, 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.