
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading technology firm is looking for a Full-Stack Developer to join their AI Economics Unit. You will be responsible for developing modern, scalable web applications that inform economic policy decisions. This role involves building user interfaces with React and Next.js, backend development with Python and FastAPI, and close collaboration with cross-functional teams. Candidates should have 2-5 years of full-stack development experience, strong SQL skills, and proficiency in Docker environments. A hybrid work arrangement is offered, promoting flexibility and high performance.
Location: Barcelona, Spain (Hybrid) Contract: Permanent Start: Immediate / ASAP preferred
Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
As a Full-Stack Developer in Whiteshield’s AI Economics Unit, you will build and scale modern, data-intensive web applications that power our policy advisory products and decision-support platforms. You will deliver end-to-end features across the stack, shipping Next.js/React front ends, Python (FastAPI) APIs, and PostgreSQL data models, while collaborating closely with economists, data scientists, and product teams to translate complex policy questions into intuitive, production‑grade software. This role suits an engineer who is comfortable owning features from design through deployment, has strong product judgment, and cares about performance, reliability, and clean architecture. Familiarity with .NET/C# is appreciated, particularly for middleware and enterprise integration scenarios.
Whiteshield’s AI Economics Unit sits at the intersection of economic policy, data engineering, and applied AI. We design and deploy tools that help public‑sector leaders understand economic systems, monitor outcomes, allocate budgets, and simulate policy scenarios using advanced analytics and machine learning. Typical initiatives include:
We are committed to an inclusive workplace where diverse perspectives are valued.
Impact at Scale: Build products that support high‑stakes public‑sector decision‑making and economic policy delivery.
High Ownership Environment: Take meaningful responsibility in a fast‑moving unit with strong engineering standards.
Hybrid Flexibility: A working model designed to support sustainable delivery and high performance.
Growth and Recognition: We support development through mentorship, challenging work, and clear progression opportunities.
Submit your CV and, if available, links to relevant work such as GitHub or shipped products.
Shortlisted candidates will complete a structured technical interview focused on full‑stack delivery, architecture judgment, and practical problem‑solving.