Job description

Whiteshield’s AI Economics Unit combines artificial intelligence with economic expertise to solve real policy challenges by transforming complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth. Operating at the intersection of economic policy, data engineering, and applied AI, the unit designs and deploys tools that help public-sector leaders understand economic systems, monitor outcomes, allocate budgets, and simulate policy scenarios using advanced analytics and machine learning.\n\nAs a Front End Developer, you will build and ship modern, high-performance user experiences for data-intensive policy platforms. You will own the implementation of analytical dashboards, decision tools, workflow-driven interfaces, policy indices, forecasting models, and scenario simulators used by ministries and public entities. These interfaces are built on administrative and alternative data sources and must support high-stakes public-sector decision-making and economic policy delivery.\n\nThe front-end stack includes Next.js, React, TypeScript, and modern CSS including TailwindCSS or equivalent. You will implement modern React patterns such as hooks, composable components, predictable state management, and modern routing patterns, ensuring maintainable UI component architecture and comfort with TypeScript-first codebases and component libraries/design systems.\n\nA critical aspect of the role is backend integration through REST APIs powered by Python APIs (FastAPI), documented via Swagger/OpenAPI. You will implement well-structured API bindings including authentication flows, request lifecycle management, data fetching, caching, pagination, and robust error handling. Strong contract alignment with teams publishing OpenAPI/Swagger documentation is required, ensuring consistent schemas, versioning, and predictable payloads for contract-driven development.\n\nThe data layer leverages PostgreSQL and SQL-based analytics surfaces, requiring the front end to handle data-heavy screens efficiently. You will ensure strong performance through rendering optimization, code splitting, and sensible loading strategies, while maintaining resilient asynchronous UX and predictable UI states in production environments.\n\nYou will contribute to chat-enabled and AI-assisted product experiences, including conversational interfaces, LLM-assisted insights, streaming responses, conversation state management, event-driven updates, and tool/action-driven UI flows. These AI-enabled workflows must support exploration, explanation, and guided workflows on top of structured policy data, with strong governance and security considerations.\n\nThe development environment is Docker-first, emphasizing local development workflows and environment parity. You will work within Azure DevOps with familiarity in pipelines, build/release processes, and standard CI/CD practices. Exposure to Mapbox or MapLibre for geospatial UX and .NET/C# for middleware contexts is considered advantageous.\n\nCollaboration is central to the role, working closely with product, design, economists, and backend engineers. You will translate Figma designs into pixel-accurate, production-ready UI with consistent spacing, typography, and interaction design, while upholding engineering standards through code reviews, testing practices, and clear documentation in a high-ownership, hybrid work environment requiring fluency in English, with Spanish and Arabic as assets.