Senior AI Engineer

Rasulson Consulting; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Rasulson Consulting is seeking a senior AI Engineer to build production AI capabilities for healthcare/medtech clients in a consulting setting. You will design end-to-end pipelines, select models, and ensure data is de-identified and reproducible.

Responsibilities include establishing testing, quality monitoring, and traceability to support responsible AI. Collaboration with domain experts and a focus on reliability are essential.

Qualifications

• Proven experience building LLM-based production systems.
• Ability to show concrete iterations on live solutions.
• Strong background in data modeling, pipelines, and model engineering.
• Clear understanding of why versioning datasets matters as much as code.

Responsibilities

• Build AI functions that turn clinical content into practical, actionable suggestions for therapists.
• Design end-to-end pipelines with prompt and chain architectures and clear, 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 to identify which errors matter most.
• Set up regression testing and continuous quality monitoring in production.
• Build traceability mechanisms comparing AI suggestions with reviewer edits for transparency.

Skills

LLM production systems

Live-solution iteration

Data modeling

Versioning data

De-identification

Quality assurance

Consulting mindset

Tools

.NET ecosystem

Speech-to-text (Swedish)

Job description

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.

Required Skills

• 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.

Nice to Have

• 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.