AI Platform Lead

About the role: 

250 million people worldwide live with hearing loss — and most don’t get the care they need. Auditdata builds the cloud platform hearing care professionals use every day to fit devices, manage patients, and run their clinics.

We’re starting a new AI Platform team to bring intelligence into that workflow: real-time transcription of clinical sessions, automated clinical documentation, and AI-assisted workflows that reduce admin so clinicians can focus on patients. This is greenfield work with direct patient impact.

We’re looking for a hands-on technical lead to build the foundation: ship production AI services, shape the architecture, and grow a small team.

What you will do:

• Build and run AI services in production on Azure: dependable, observable, and cost-aware.

• Own the transcription pipeline that turns clinical conversations into usable structured data.

• Deliver LLM-powered capabilities for documentation and data transformation, with safety controls appropriate for a clinical context.

• Create a reusable “AI workflow layer” so product teams can plug in AI features without reinventing orchestration, permissions, and traceability.

• Define platform interfaces (APIs/SDKs) that make adoption easy across the engineering org.

• Lead while building: mentor engineers, review designs, and raise the quality bar (~30% leadership; ~70% hands-on).

What success looks like:

• The AI Platform is established as a trusted internal platform used by multiple product teams for AI features 

• Transcription, LLM document generation, and the agent framework are reliable, observable, and cost-efficient in production 

• The AI platform has a clear roadmap, aligned with product and architecture, with transparent tradeoffs and priorities 

• You are recognized as the go-to technical leader for AI services, working peer-to-peer with architects, product, and other engineering leads.

Key competences and expertise:

• 5+ years building and operating backend/platform services in production

• Strong engineering fundamentals (testing, CI/CD, observability, reliability)

• Experience with cloud-native systems (APIs, microservices, event-driven; Kubernetes a plus)

• Hands-on experience shipping AI-powered features (LLMs, retrieval/knowledge grounding, prompt/tool workflows, or similar)

• Python preferred, or a similar backend language

• You’ve owned systems end-to-end and can guide others through ambiguity.

Nice-to-haves: 

• Speech-to-text experience (Azure, Whisper, or similar)

• Azure platform services (AKS, API Management, Key Vault, etc.)

• .NET ecosystem familiarity

• Regulated / healthcare domain experience

• Multi-tenant SaaS and global deployment experience

• Experience building internal platforms used by multiple teams.

What’s in it for you:

• Greenfield AI work with real patient impact

• Remote-first, async-friendly culture

• High engineering and product standards

• A team that values depth over hype: production quality over flashy prototypes

• A culture that values personal growth as much as business outcomes

• Long-term engagement in a stable, growing SaaS company 

• Flexible environment with a flat organizational structure

• A global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more. 

Feels like it’s a perfect match to you? 
We look forward to your application! (please submit your English CV) 

Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills.