About the client
Our client is an AI transformation studio that partners with large, ambitious organizations to design and build AI-driven products with real business impact. They work at the intersection of strategy, data, and technology, helping clients move from early AI ideas to production-ready applications that are actively used at scale. Their work spans industries and functions, with a strong focus on applied AI, solid engineering, and long-term value creation.
About the role
Our client is looking for a Senior full stack engineer to help build end-to-end AI applications for enterprise clients. This is a strongly hands-on role, focused on designing and developing production-grade software that integrates modern frontends, Python-based backends, data pipelines, and AI models.
You will work closely with designers, data engineers, and AI engineers to translate complex business and technical requirements into robust, scalable applications. The emphasis is on building reliable systems that can be deployed, maintained, and extended in real client environments, rather than on experimentation alone.
What you’ll do
You will design and build full-stack AI applications from concept through deployment, taking responsibility for both frontend and backend implementation. On the frontend, you’ll develop modern, responsive user interfaces using JavaScript and TypeScript frameworks such as React, with a strong focus on usability and performance.
On the backend, you’ll build Python-based services and APIs that orchestrate business logic, data access, and AI model integration. You will collaborate closely with data and AI engineers to integrate structured data sources, databases, and data pipelines into customer-facing applications.
You’ll also contribute to cloud deployment and operational setup, working with containerization, CI/CD pipelines, and cloud infrastructure, with Azure as the preferred platform.
What you bring
You are comfortable owning technical decisions across the full stack and writing production-quality code. You have strong experience building scalable web applications, working with modern frontend frameworks, Python backends, and relational databases such as PostgreSQL.
You understand how data flows through applications and how AI outputs can be safely and effectively exposed to end users. You are familiar with modern DevOps practices, including containerization, automated testing, and continuous deployment, and you have experience deploying applications to a major cloud provider, ideally Azure.
You communicate clearly in English and enjoy working in multidisciplinary teams on complex, project-based work.
How you work
You care deeply about code quality, maintainability, and clarity, and you actively contribute through code reviews and technical discussions. You are comfortable taking an application from early architecture decisions to a stable production deployment.
You enjoy working in a consulting-style environment, where each project brings new technical challenges, domains, and constraints, and where AI is a core part of the solution rather than an add-on.
Growth and impact
From early on, you’ll be involved in shaping technical foundations and development practices. As you grow in the role, you’ll take ownership of larger parts of client applications, help define reusable internal components, and contribute to the evolution of how AI products are built and deployed across projects.
Contract and setup
This role is open to both permanent employment and long-term contract arrangements. Depending on preference and location, our client can offer either a standard contractor setup or a payslip-based setup.