WHAT YOU'LL BE DOING Architect and build internal web applications and operational platforms end-to-end database to UI Design and own data structures, schemas, and data models that underpin a cutting-edge AI platform Integrate third-party services, SaaS tools, and enterprise systems Ship APIs, backend services, and cloud deployments that teams depend on daily Collaborate directly with business teams, data engineers, and AI specialists not just a ticket system Own your code in production, including reliability, performance, and continuous improvement Grow into the architecture of a proprietary AI data platform you'll be shaped into this, but you need the foundations to get there WHAT YOU NEED 6-8+ years of full stack engineering experience at a senior level Strong backend skills in Python or Node.js Frontend experience with React, Next.js, Vue, or Nuxt Proven data architecture experience you've designed complex data models, schemas, and database structures, not just queried them Deep understanding of relational databases, particularly PostgreSQL Comfortable with REST APIs, authentication, and third-party integrations Solid on Git, CI/CD, and cloud deployments You ship production-ready code independently and take ownership of what you build The technical depth and intellectual curiosity to be trained into AI platform architecture NICE TO HAVE GCP, AWS, or Azure hands-on experience TypeScript and modern UI component libraries Infrastructure as Code or containerised environments Experience with data pipelines, data warehousing, or AI/ML-adjacent platforms Built dashboards or data visualisation tools Worked in fast-moving teams where you wore more than one hat WHAT'S IN IT FOR YOU High autonomy you own what you build Flexible working environment Exposure to a modern, cloud-native tech stack International teams and real-world scale The opportunity to architect something genuinely novel not maintain someone else's legacy code