Senior AI Engineer (Healthcare)

TL;DR

Senior AI Engineer (AI/Healthcare): Building and optimizing shared AI capabilities for a healthcare platform, with an accent on workflow orchestration, safe automation, and applied AI in production systems. Focus on designing reliable, auditable automation with guardrails and integrating speech-to-text, summarization, and agentic workflows for healthcare professionals.

Location: Oslo, Bergen, Bodø, Stavanger, or from anywhere in Norway

Salary: 1,150,000-1,350,000 NOK/year

Company

hirify.global is creating an integrated software platform for Norwegian healthcare, enabling municipal institutions, professionals, and citizens to collaborate efficiently.

What you will do

• Design and evolve the workflow engine for hirify.global's platform, including version-aware state machines, observability, and audit trails.
• Build the automation layer with safe execution patterns, human-in-the-loop checkpoints, and full traceability.
• Integrate applied AI capabilities like speech-to-text, summarization, and contextual question-answering into workflows.
• Explore and build agentic, multi-step task flows with strict safety boundaries and transparency.
• Create reusable AI and automation components, APIs, and tooling for other product teams.
• Establish methods to evaluate, monitor, and continuously improve automated and AI-driven workflows.

Requirements

• Strong software engineering experience building and operating production systems.
• Hands-on experience working with LLMs and/or speech-to-text in real products.
• Experience taking AI capabilities from prototype to production, including reliability, latency, cost, and failure handling.
• A quality and evaluation mindset, with experience measuring system behavior and preventing regressions.
• Familiarity with cloud platforms (preferably Azure) and modern observability tooling.
• Strong communication skills and the ability to collaborate across teams and disciplines.

Nice to have

• Experience building agentic systems or multi-step AI workflows.
• Experience monitoring AI systems in production (quality, cost, latency, drift, failure modes).
• Familiarity with Azure AI Foundry or similar model deployment and governance tooling.
• Experience building shared internal platforms used by multiple product teams.
• Experience working in regulated environments where traceability, auditability, and risk management are required.
• Familiarity with workflow orchestration systems, state machines, or event-driven architectures.

Culture & Benefits

• High trust environment with real ownership and little bureaucracy.
• Opportunities for growth, leadership, and technical influence in a growing platform organization.
• Support for personal development through regular 1:1s, mentoring, learning budgets, and conference access.
• Flexible work arrangements, including work-from-home or local offices, and workations.
• 6 weeks vacation and employee shares to own a piece of what you build.
• A collaborative, caring team that values kindness and excellence.