Full Stack Developer - AI Team; Global Digital

Full Stack Developer - AI Team (Global Digital)

Join to apply for the Full Stack Developer - AI Team (Global Digital) role at Populous

For more than 40 years Populous has had a singular focus – to draw people together around the things that they love, to be the leading design firm that specialises in places, spaces and events where people gather. Our success is defined by designing projects that are seen as the benchmark. We are committed to future innovation, anticipating and shaping the future of our industries.

Our team is made up of highly talented people with a range of skills, all integral to successfully bringing to life the places and experiences we design. As our company has grown, our expertise has expanded to encompass a wide variety of disciplines – including architecture, audiovisual consultancy, brand activation, design & build, events, food & beverage strategy, interior design, landscape architecture, urban design and way finding.

This varied expertise enables us to transform neighbourhoods, revitalise cities, build relationships and create buildings, places and spaces that draw people together, from the Tottenham Hotspur Stadium to The Co-op Live Arena.

As we continue to bring to life award‑winning venues and experiences our EMEA Practice is looking for a Full Stack Developer – AI Team (Global Digital) based in our Putney studio.

This role sits within our AI Team. As a Full Stack Developer, you’ll build high‑impact applications that integrate AI/ML models, data pipelines, and intuitive user interfaces. You’ll collaborate across disciplines to create scalable, cloud‑native software that enables better design, decision‑making, and outcomes for real‑world environments.

• Application Development
  • Design, develop, and maintain modern web applications and RESTful APIs
  • Build and integrate AI/ML features into both frontend and backend systems
  • Develop AI‑powered capabilities such as intelligent search, generative design tools, or data‑driven recommendations
  • Work with APIs and tools from platforms like OpenAI, Hugging Face, or custom in‑house models
  • Translate real‑world challenges into intuitive, AI‑enhanced user experiences
  • Create reusable software components, including libraries, SDKs, and modules for internal and external use
  • Write scalable, maintainable, and well‑documented code
• Architecture & Technical Planning
  • Contribute to software architecture and technical design discussions
  • Ensure applications meet industry standards for accessibility, performance, and security
• Dev Ops & Cloud Engineering
  • Deploy and manage applications on cloud platforms like AWS or Azure
  • Leverage serverless tools (e.g., AWS Lambda, Azure Functions) to build scalable backend services
  • Set up lightweight, robust CI/CD workflows and automated deployment processes
  • Write practical tests to improve reliability and support rapid development
• Collaboration & Agile Delivery
  • Collaborate within agile, cross‑functional teams, including designers, developers, and domain experts
  • Participate in code reviews, version control workflows, and team‑wide discussions on product direction

• Core Technical Skills
  • Several years of hands‑on full stack development experience in a commercial environment
  • Strong proficiency in HTML5, CSS3, ES6/Type Script, and responsive design principles
  • Solid experience with React (or similar modern frontend frameworks) and component‑driven UI architecture
  • Backend development expertise in Python (FastAPI, Flask), .NET Core, or Node.js
  • Comfortable designing and consuming RESTful APIs
  • Familiarity with both relational (Postgre
    
    SQL, SQL Server) and No
    
    SQL databases
  • Experience with Git and version control workflows
  • Strong foundation in object‑oriented design, modular architecture, and reusable software components
• AI/ML Integration Experience
  • Experience integrating AI/ML APIs and tools (e.g., OpenAI, Hugging Face, Lang Chain), or a strong interest in learning how to apply AI in real‑world tools
  • Exposure to building intelligent features such as generative design aids, semantic search, or context‑aware interfaces
  • Familiarity with model orchestration, prompt engineering, or LLM‑driven…