Full-Stack Engineer

Our partner is building an AI-powered marketing platform that serves as the operational, data-driven layer between raw marketing data and live advertising campaigns. The platform automates complex marketing workflows and enables data-driven campaign execution at scale. As a Full-Stack Engineer, you´ll help shape the customer-facing experience by building intuitive user interfaces and scalable backend services that power a modern AI-driven platform.

Responsibilities

• Build, maintain, and enhance responsive, data-rich user interfaces using React and TypeScript.
• Design, develop, and integrate scalable RESTful and/or GraphQL APIs.
• Connect frontend applications with cloud-based backend services, AI models, and data pipelines.
• Collaborate closely with Data Engineering, DevOps, and Product teams to deliver seamless end-to-end user experiences.
• Translate complex analytical data into intuitive, actionable user experiences.
• Write clean, maintainable, and well-tested code with a strong focus on performance and quality.
• Contribute to architectural decisions and continuously improve both the product and developer experience.

Required Skills & Qualifications

• 2–5 years of professional software engineering experience.
• Strong hands-on experience with React and TypeScript.
• Solid understanding of modern frontend architecture, state management, and asynchronous programming.
• Experience designing and integrating RESTful and/or GraphQL APIs.
• Experience connecting frontend applications to cloud-based backend services and data platforms (AWS experience is a plus).
• Ability to read and understand existing Swift code. Writing production Swift is not required.
• Strong UI/UX mindset with experience building clean, responsive, and intuitive interfaces.
• Excellent communication and collaboration skills in cross-functional engineering teams.

Benefits

• Experience with server-side TypeScript (Node.js, NestJS, or similar).
• Familiarity with serverless architectures and modern cloud environments.
• Experience with AWS services.
• Exposure to data platforms such as Databricks.
• Previous experience working on AI-powered or data-intensive products.