Senior AI Engineer

Role

We're looking for a senior AI Engineer for a consulting assignment focused on building AI\-driven capabilities in a business\-critical, quality\-sensitive setting for a company within healthcare/medtech.

Responsibilities

• Build AI functions that turn clinical content into practical, actionable suggestions for therapists in their daily work.


• Design end\-to\-end pipelines, including prompt and chain architectures, with structured outputs broken into clear, independently testable steps.


• Own model selection and strategy, including fine\-tuning open\-weight models.


• Help establish a data foundation with measurable quality, ensuring data is de\-identified, version\-controlled, and reproducible.


• Define per\-function evaluation methodology — identifying which error types matter most and what quality bar must be met before output reaches a human reviewer.


• Set up regression testing and continuous quality monitoring in production.


• Build traceability mechanisms capturing what the AI suggests versus what the reviewer approves or edits, supporting transparency and long\-term improvement.

• Proven experience building LLM\-based systems that run in production, not just proof\-of\-concept work.


• Able to give concrete examples of how you've iterated on and improved live solutions over time.


• Strong background across data modeling, pipeline development, and model\-related engineering.


• Clear understanding of why versioning datasets matters as much as versioning code.


• Experience handling sensitive personal data, with a real grasp of how nuanced de\-identification can be.


• Comfortable working against defined quality bars rather than optimizing for a demo.


• Understands the stakes of reliability in AI systems, particularly where mistakes carry real consequences.


• Consulting mindset: able to step into an existing team, collaborate closely with domain experts, and leave behind solutions others can maintain.

• Background in medical technology, healthcare, or other regulated fields with strong traceability requirements.


• Experience with speech\-to\-text systems, particularly for Swedish as a lower\-resource language.


• Familiarity with the .NET ecosystem.

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