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Open nowPosted 14 hours ago

AI Engineering Capability Owner

Inpay4 open roles

Where
Copenhagen
Work mode
On site
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Your applicationOpen nowAI Engineering Capability OwnerInpay · Copenhagen

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Inpay postings stay open a median of 18 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted 14 hours ago

Inpay median: 18 days open

The posting

Join us as a frontrunner and change the way we build software, with AI at the centre.

Software engineering is being rewritten right now, and we want to be among the ones holding the pen. The best companies of the next few years will not simply be the biggest. They will be the ones that learned early how to work with AI as part of the team: people setting the direction, agents doing much of the work, and every step tested and traceable.

At Framm, the platform company of Inpay Group, we have already started. Our AI-driven development lifecycle (AI-DLC) is up and running, and agents write tests for us today. But we do not want to follow the pack. We want to be the frontrunner, and we really want to change the way we work, and not just in engineering. What we need now is an engineer who can take what works in development and carry it into the rest of the business.

If you want to do more with AI than speed up a single team, and would rather help reinvent how a whole company works, keep reading.

The role

What you will own

  • The way engineering works with AI: the agent harness, shared repository and compliance-gated pipeline, improved continuously from today’s baseline.
  • The method the team works by: how agents are used, how work is specified, how output is reviewed and how tests are written.
  • Business capabilities: following them across teams, systems and processes, starting with areas such as reconciliation, funds management and IT operations, and engineering AI-assisted improvements all the way into daily use.
  • Documentation and remediation: using agents to express what our platform does as specifications and tests, speed up security fixes and automate evidence for our control framework.
  • Guardrails that let engineers build their own AI-powered tooling safely, within the group’s shared permissions model.
  • Bringing colleagues with you: pairing with engineers and business colleagues, showing what works and following improvements through to adoption, so that people build confidence in working with agents.

Your first months

What you will bring

  • Eight or more years in software engineering, five or more of them in backend or platform engineering on production systems, with fluency in at least one of Python, Go, Java or TypeScript.
  • You have modernised something old while it stayed live, whether monolith to services, on-premise to cloud or a language or runtime migration, and you can tell us what you documented first, what you tested first and what went wrong.
  • Two or more years building LLM-based systems that reached production, with ownership of context and prompt design rather than just API calls, plus an evaluation framework with test sets, pass criteria and regression tracking that you used to decide whether something shipped.
  • Twelve or more months using coding agents such as Claude Code, Copilot, Cursor or Codex on real work, with a clear view of delegation boundaries, review discipline and failure cases.
  • Hands-on CI/CD, automated testing and release gating, including a pipeline you made enforce something rather than merely report it.
  • Experience from a regulated environment with enforced access control, audit logging, change evidence and segregation of duties, including producing or defending evidence for an audit or certification such as ISAE 3402, SOC 2, ISO 27001 or PCI DSS.
  • Specifications that other engineers built from and test suites that others relied on, plus the ability to understand business workflows, talk with non-technical colleagues and win cooperation across teams without line-management authority.

Lead from the code

Why you will love it here

  • A role that is genuinely new: take AI-native engineering out of the development team and into the whole business, and define how it is done.
  • Real reach: from how engineering works with AI to how a whole payments business runs, with your work live on a platform that moves real money.
  • A flying start: our AI-DLC is already running and agents already write our tests, so you build on real momentum instead of starting from zero.
  • A direct line to the CTO, the final say on method and a genuine say in where technology goes next.
  • An open, informal culture where everyone is heard and good ideas win, with a fun office in the heart of Copenhagen, right next to Amalienborg, or remote within our working time zone.

Interested

You will be hired by Framm, which is part of the Inpay Group and delivers services to Inpay.

Our core values drive our success. We seek individuals who embody these values:

Customer First: You demonstrate professionalism, prioritize customer satisfaction, and deliver high-quality results.

Raise the Bar: You maintain a positive attitude, foster resilience and adaptability, and strive for continuous improvement.

Accountability: You take responsibility for tasks, show initiative in problem-solving, and meet commitments.

Fearless Innovation: You embrace a growth mindset, seek learning opportunities, and drive innovation.

Together We Can: You build positive relationships, collaborate effectively, and support team success.

Action: You are proactive, action-oriented, and committed to delivering results.

If these values resonate with you - and you’re based in Copenhagen or within commuting distance - we would love to hear from you.

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