AI Engineer – Build & Deploy AI Solutions for Production

About Kompose

We build focused, production-ready AI solutions for professional services firms and larger enterprises.

We tackle the hard problems enterprises actually need solved:

• Processing complex documents

• Navigating compliance requirements

• Delivering results organisations stake their operations on

We’re a small team with backgrounds in tech and consulting, based in Christianshavn, Copenhagen (right next to the canals).

We’re early-stage, growing organically with strong traction, and building something that works.

We’re always pushing the boundaries of how we use AI - both internally and for our clients. That means we don’t just deliver AI solutions; we continuously evolve our own AI delivery framework to ship faster and better with every project.

The role: AI Engineer

We’re looking for a technically strong AI Engineer who has 1–3 years of industry experience. You’ve already built things that matter. Consulting experience is a strong plus.

You can code, you like shipping products, and you enjoy taking on responsibility.

You’ll be client-facing from day one: joining customer projects, running workshops, supporting delivery, and occasionally helping with pre-sales.

We describe this as “deep tech, not deep basement” - you’re a strong builder who can also explain what you’re building and why it matters.

What you’ll do

• Build AI systems that reason over complex documents, orchestrate multi-step workflows, and make enterprise operations faster and smarter - using frontier LLMs, agentic frameworks, RAG architectures, and vector databases

• Deploy and maintain systems on customer infrastructure with enterprise-grade fundamentals: security, scalability, CI/CD in Azure DevOps, observability with LangFuse

• Work with state-of-the-art AI tooling: Claude Code, Cursor, Conductor for parallel agent orchestration

• Build and improve our internal AI delivery framework, the systems and practices that make every project faster and better than the last

• Ship frontend experiences in React and write production code in Python and TypeScript

• Manage infrastructure as code with Terraform on Azure

• Join customer workshops, delivery sprints, and project meetings - you’re part of the team the client sees

• Support pre-sales when needed: scoping, demos, technical credibility

• Work with modern engineering practices that keep quality high and iteration fast

• Take real ownership of outcomes, not just tasks

This is not a research role. It’s applied engineering: build, deploy, improve.

What you bring

• 1-3 years of hands-on experience (internships, consulting engagements, or side projects that shipped)

• Strong Python skills

• Working knowledge of Azure (Portal, AI Foundry), Azure DevOps, and AZ CLI

• Familiarity with prompt & context engineering, RAG architectures, and vector databases

• Comfort with React (or similar) for frontend work

• Experience with, or eagerness to adopt, Infrastructure as Code (Terraform)

• Clear communication - written and spoken - with both technical and non-technical audiences

What we offer

• High ownership from day one. Small team, real responsibility, direct impact

• Build your career as an applied AI engineer. Design, build, and deploy production-grade AI systems that transform how enterprise clients work

• Learn from a very experienced team. Work closely with founders with deep backgrounds in tech and consulting

• Shape how AI projects are delivered. Help evolve our internal AI delivery framework - the engine behind our speed and quality

• Cutting-edge tooling. We invest in the best AI tools and engineering practices

• Growth based on results. We care about what you deliver and how fast you learn, not your CV

• Great location. Office in the heart of Christianshavn, Copenhagen - close to the Metro and the canals for a weekly swim.

• Flexible hours, strong in-office culture. We prefer being together most days (sometimes at customer sites). WFH is possible, but not the default

Start date: As agreed (preferably as soon as possible)

Employment: Full-time preferred. Part-time possible for the right candidate

How to apply

To keep the process relevant (for you and for us), we prefer applications that include real work.

Please include:

• Link to your GitHub (or similar) - ideally with something we can review

• A short note: what you built, what you owned, and what you learned

Optional (highly encouraged):

• A 60–90 sec video (Loom is fine) where you introduce yourself

• A short write-up / demo link of a solution you built (repo, deployed app, notebook, blog post)

Apply via The Hub.