Senior AI Engineer

Somewhere in Norway right now, a nurse is filling in a form instead of caring for someone. As municipalities face growing pressure

to deliver more care with fewer resources, time saved in daily work has become one of the most valuable things we can deliver.

At Aidn, we’re creating the missing healthcare platform all Norwegians deserve: an integrated set of services and applications

that allow municipal institutions, healthcare professionals, social workers, and citizens to collaborate on healthcare matters as

a single team. We're building toward a future where healthcare staff have an always-available digital colleague: one that surfaces

the right information at the right time, cuts repetitive admin tasks and supports better decisions.

As a Senior AI Engineer, you'll build and operate the AI platform the rest of Aidn runs on, the production services, guardrails,

and shared components that other teams use to build their own AI features.

The distance between AI that's impressive in a demo and AI a clinician will trust on a shift is real. Closing that gap, by making

it reliable, observable, and safe enough for healthcare, is the job. Getting it right means a nurse gets her afternoon back.

Getting it right at scale, across every municipality we serve, means thousands of hours returned to patient care, and Norway a

step closer to a healthcare system that helps people live the longest, healthiest lives possible.

You'll build and operate the shared AI capabilities behind Aidn's digital colleague direction. The work sits where applied AI,

safe automation, and platform engineering meet, and it's measured in real time returned to patient care.

• Shared AI building blocks: Creating the reusable components, APIs, evaluation patterns, and tooling that let other product

teams adopt AI safely, without reinventing core infrastructure. This is the heart of the role.

• Applied AI into production: Taking capabilities like speech-to-summary, form-filling, and contextual drafting from pilot to

production, tied to the correct patient, case, and data context, with real attention to latency, cost, reliability, and failure

modes.

• Guardrails for healthcare: Building safe execution into the platform: previews before actions, human-in-the-loop checkpoints,

risk tagging, rollback, full traceability and audit trails, and the separation between MDR and non-MDR contexts.

• Evaluation and observability: Establishing how we test, measure, and monitor AI behaviour over time, eval frameworks,

ground-truth validation, regression detection, and production monitoring, so quality and trust hold as usage scales.

• Agentic and multi-step flows: Helping shape controlled, goal-driven automation, proposing and chaining steps like preparing a

case or drafting a letter, with strict safety boundaries. This is emerging work as the platform matures.

We build on modern, production-proven technology, chosen for reliability, traceability, and safe execution in healthcare. The

result is AI that teams and municipalities can actually trust.

You don't need every item on this list. You should be comfortable working across a stack like this and confident picking up what

you don't already know. We care more about how you think than exactly what you've used.

A hands-on engineer who pairs strong software and systems fundamentals with real experience shipping AI in production. You care

about capabilities that are safe, observable, and reusable, not just impressive demos.

• Strong software and systems engineering: you've built and operated production systems, with sound judgment on reliability,

scalability, and maintainability.

• Shipped applied AI in production, not just prototypes: you've taken LLM- or speech-based capabilities into real use and handled

latency, cost, reliability, and failure modes.

• Built things other engineers depend on: shared services, APIs, libraries, or platform components, with the interfaces and

documentation that made adoption easy.

• Safe-by-design engineering: comfortable building with guardrails, traceability, audit trails, human-in-the-loop checkpoints,

and controlled execution.

The people who do well in this role are pragmatic rather than perfectionist, they ship the thinnest safe slice that delivers

value, then improve it. They have high agency and move work forward even when the path isn't fully drawn. They're drawn to

problems where reliability, scale, and real healthcare constraints make the engineering genuinely hard, and they get as much

satisfaction from helping another team ship safely as from their own code. Honest, direct, and good to work alongside.

• You understand the AI platform, its guardrails, and the healthcare constraints that shape it (traceability, audit,

human-in-the-loop, MDR separation).

• A capability you helped productionise, such as speech-to-summary or form-filling, is running in production with credible

evidence of time saved.

• Aidn has a more mature, scalable foundation for AI: clearer evaluation standards, better observability, and more consistent

practices across teams.

You’ll be trusted to make decisions, take initiative, and shape your own path. There’s little bureaucracy, and we hire people we

trust to figure things out.

You’ll be joining a growing Platform organization at a pivotal stage, with the chance to leave a real mark on how our backend

systems evolve. As Aidn scales, your opportunities to lead, mentor, and influence technical direction will grow alongside it.

You’ll have regular 1:1s, feedback, and mentoring from experienced engineering leaders. We support personal development through

learning budgets, conference access, and time for deep work.

Work from home, from one of our local offices, or take a workation if you need a change of scenery. We trust you to manage your

time in a way that works for you and your team.

Aidn is part of the Kernel cooperation, where we build technology for the next generation of welfare societies. With financial

backing in order, we are privileged to be a fully autonomous startup busy building our company from the ground up the way we see

fit.

Aidn recognizes and celebrates diversity in all its forms, visible and non-visible in all areas of the work environment. We work

to promote an anti-discriminatory environment where everyone feels safe and welcome.