Full-Stack AI Engineer

Computershare is global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors and customers.

Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery and business continuity planning programs - offering peace of mind to our clients and their customers.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with Computershare to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

On behalf of Computershare, we are looking for a Full-Stack AI Engineer for a 12 Months contract based in Edinburgh (Hybrid - 3 days per week in the office).

Join us as a Full-Stack AI Engineer

As an AI Full-Stack Engineer, you will design and deliver end-to-end AI-powered applications that drive real business impact across the enterprise. Working hands-on across the full technology stack, you will build intelligent solutions that combine modern software engineering with cutting-edge Generative AI and agentic systems.

Your key responsibilities will include

Design, build, and deploy end-to-end AI applications, from data and model orchestration through to backend services and user interfaces.

Work closely with business and product teams to translate high-value use cases into scalable, production-ready solutions.

Rapidly prototype and iterate on Generative AI and agentic solutions, evolving them into robust, enterprise-grade applications.

Develop and maintain clean, secure, and reliable code, following best practices in testing, CI/CD, and observability.

Integrate AI capabilities into existing systems and contribute to shared platforms and reusable components.

Monitor, optimise, and improve deployed solutions for performance, reliability, and cost efficiency.

What you will bring to the role

Strong full-stack software engineering experience, with expertise in backend development (Python) and modern APIs.

Hands-on experience with Generative AI, including Large Language Models, retrieval-augmented generation, or agentic frameworks.

Familiarity with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native development practices.

Experience delivering solutions in financial services or a regulated environment.

Solid understanding of software engineering best practices, including testing, CI/CD, and system design.

Ability to work in fast-paced, evolving environments with a pragmatic and adaptable mindset.

Next steps

Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists.

AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements.

We can only accept workers operating via an Umbrella or PAYE engagement model.

Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.