AI Engineer

Job Description

AI Engineer - Skatteguiden

Payne Talent are recruiting on behalf of our client Skatteguiden.

Tech-first. Ego-free. User-obsessed. Were Skatteguiden the independent advisor for 1 million Danes (and counting), starting with tax and now taking on the broader world of personal finance.

Were not tied to strategic partners, investor KPIs or slow-moving hierarchies. We're profitable, well-funded, and accountable only to our users. That gives us a rare superpower: clarity.

Were a tech company at heart. That means tight teams, direct execution, and continuous delivery. We build fast, break well, and learn obsessively. We ship meaningful products, not fluff and we win together.

About this Opportunity

Were on a mission to transform how people manage their taxes and finances with cutting-edge AI. Our AI Tax Assistant has already handled over 80,000 tax-related conversations since January, helping users get answers and guidance instantly. Now, were looking for a full-time AI Engineer to join our team in Copenhagen.

Youll take the lead on AI-driven transaction data mapping and insights, you will be part of a cross-functional squad (Product, Backend, Frontend, UX) a small, focused team made up of people with different skill sets working towards a shared goal.

You will be working closely with our Data Product Lead, who brings deep user, data product, and transaction data understanding. Together, youll scope, drive, and build solutions that help people understand their finances at scale. Youll also partner closely with our existing AI Engineer, collaborating on architecture, best practices, and extending the intelligence of our AI Tax Assistant making it even smarter, more contextual, and more helpful over time.

With close to 1 million users in Denmark, our platform already serves a large share of the population, and your work will help bring even more clarity, relevance, and financial empowerment to everyday Danes, solving real problems for real people.

Key Responsibilities

• Design and Build AI Solutions: Develop AI-driven models and algorithms from scratch, focusing on intelligent transaction data processing and enrichment.
• Integrate AI into Product Workflows: Build features powered by AI components (e.g. LLMs, vector embeddings, classifiers) that seamlessly plug into user-facing products and back-end systems.
• Own the Full Lifecycle: Take end-to-end ownership from scoping and prototyping, to deployment, testing, and iteration.
• Work with Real Systems, Not Just Models: Ensure your solutions are well-integrated into existing systems, business logic, and user journeys, with robust data flow and performance.
• Collaborate Broadly: Work closely with the Data Product Lead, AI Engineer, Dev engineers, and designers to align AI development with user value and organisational priorities.
• Maintain and Evolve: Actively test, maintain, and improve AI features over time, and contribute ideas for improving our overall AI setup, architecture, and capabilities.
• Stay Ahead: Keep up with the evolving AI landscape and propose improvements to systems, workflows, or tooling where relevant.

Your Experience

• Practical AI Experience: Youve worked with AI technologies like LLMs and prompt

engineering ideally in product-oriented contexts.

• ML modelling capabilities: You have experience with the "classical ML workflow"; collecting data, feature engineering, model selection and parameter tuning. Much work these days is done using LLM models, but you should also have experience working with other areas within the AI field.
• Engineering Craft: You can design and implement scalable systems, with strong coding skills in Python (Java or similar languages also welcome).
• Data Infrastructure Awareness: You understand how data moves and how AI systems depend on clean, structured input and effective deployment environments.
• Lead with Ownership: You're comfortable taking the lead on complex problems, balancing experimentation with delivery.
• System Thinker: You consider architecture, performance, and maintainability when designing AI solutions.
• Collaborative by Nature: Youre comfortable working across teams, communicating openly, and solving problems together.
• Relevant Background: A degree in Computer Science, Engineering, or a related field is helpful, but not required if you bring the right experience and mindset.

Our Lean Recruitment Process

• 30-minute screening call with our recruiter, Christian Payne
• 1 hour Online meeting with Morten, your fellow AI Engineer and Nicolai (Data Product Lead)
• 1-hour Onsite meeting Casper (CDO) and Nikolai (CEO)

If you're excited to build AI that helps nearly 1 million Danes and helps them better understand and manage their finances, wed love to hear from you.