Role overview
Copenhagen, Denmark
We are hiring for our AI Engineering team. This role is about building and operating AI-powered products and services — primarily customer-facing features for our trading platforms, but also internal tools used widely across the company. The work is hands-on, production-oriented and varied. The role is based at our headquarters in Denmark.
The team works with the latest models, tools and protocols as they emerge and apply them to real products used by clients. There is a high degree of autonomy in how we work and what we build, and genuine room to shape the role and make an impact. We are a small team relative to the scope of what we do, which means your work matters and your ideas get heard.
We build on top of large language models through APIs and SDKs. The work is engineering: integrating, orchestrating and building reliable systems around AI capabilities. You will work with product managers, designers and engineers across the company to ship AI features that meet real needs and run well in production. The tech stack is primarily Python, TypeScript and C#, deployed as containerized services on our Kubernetes clusters.
What you'll work on
You will design, build and operate AI applications end to end. The work spans a broad range — here are examples of what that looks like in practice:
Build customer-facing AI features such as conversational assistants, intelligent search, personalised insights and platform assistance.
Develop and maintain internal AI tools for knowledge retrieval, summarisation, research and workflow automation.
Design and implement agentic systems, i.e. multi-step AI workflows using tool calling, context management and orchestration to solve complex tasks.
Work directly with model provider APIs and SDKs. We prefer lean integrations over heavy frameworks, and expect you to be comfortable working close to the API level.
Build and maintain integrations with data sources and services (SQL, REST APIs, event-driven systems); handle data ingestion and PII appropriately.
Integrate emerging standards and protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent) with our services and platforms.
Ship production services on Kubernetes with Docker; set up CI/CD pipelines, automated testing, observability and rollback strategies.
Contribute to shared SDKs, templates and best practices used by teams across the organisation.
Work with Information Security, Legal, Compliance and Data Protection on privacy, security and responsible AI.
Keep things running: code reviews, incident response, capacity planning and clear documentation.
What we're looking for
- Full-stack experience, including front-end or UI/UX work.
- Hands-on experience with AI safety, guardrails or content filtering in production systems.
- Experience with cloud platforms such as Azure, GCP or AWS.
- DevOps skills: infrastructure as code, container orchestration, CI/CD.
- Background in product thinking, business analysis or technical enablement.
- Experience contributing to developer tooling, SDKs or internal platforms.
We review applications on an ongoing basis. If this role matches your skills and interests, please apply.