Top Tech Jobs & Startup Jobs in Belfast

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

The Senior Product Designer will create and enhance the Kraken app's design, collaborating with cross-functional teams to deliver user-centered solutions and improve brand expression.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Mobile UI/Design Engineer will enhance the Kraken app's UI with fluid, gesture-driven interactions in React Native, optimizing for performance and mentoring other engineers.

Develop and maintain core components for a low-latency trading engine at Kraken, focusing on messaging solutions and system optimization.

Design and own Breakout's website and conversion flows end-to-end, build AI-driven design systems and reusable components, extend and govern the brand across web, email, and social, prototype code-backed designs, and enable cross-functional teams to self-serve through documentation and tooling.

As a Founding Developer Relations Lead, you'll build a new Developer & Agent Interface, drive adoption metrics, create technical content, and partner with engineering and product teams to enhance the developer experience.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.