AI Platform Lead

Auditdata

2d

About The Position

We are building a new AI Platform team to power the next generation of intelligent features in our cloud-based retail system for hearing care. This team owns the core AI services behind Auditdata product portfolio. AI platform includes: ML which is used for speech to text service and transcription LLM-based data transformation Agentic AI workflows Retrieval Augmented Generation layer Internal agent / orchestration framework for tool-calling and multi-step workflows As an AI Platform Lead, you will be the hands-on technical owner of a new AI platform - its reliability, performance, and cost of AI services in production (SLIs/SLOs, incident response, optimizations). You’ll design and build production services, lead a team of engineers, and collaborate with different stakeholders internally and externally to evolve overall technical direction. This role is for someone who wants to both code and lead.

Requirements

• 7+ years of experience building and operating backend or platform services in production
• Strong experience with .NET and/or Python, and cloud-native services (microservices, APIs, messaging)
• Knowledge of MCP, MAF, Microsoft Foundry
• Hands-on experience building AI-powered features or services (e.g. RAG, prompt management, tool-calling, agent-like workflows)
• Experience integrating with speech-to-text providers (Azure, Whisper, or similar), or a strong willingness to learn quickly
• Previous experience as a tech lead / team lead or similar role, owning systems end-to-end
• Solid engineering practices: testing, CI/CD, observability, performance, and reliability

Nice To Haves

• Experience in healthcare / regulated domains
• Experience with multi-tenant SaaS and global deployments
• Azure experience (AKS, App Services, API Management, Key Vault, etc.)
• Experience designing internal platforms / SDKs that other teams consume

Responsibilities

• Design, implement, and operate cloud-native AI services on Azure, integrating with our .NET microservices and Kubernetes-based platform.
• Design and own Azure AI infrastructure.
• Own and evolve speech-to-text transcription pipeline.
• Build and maintain LLM-driven data transformation capabilities, including: - Prompt and template management - Retrieval-augmented generation (RAG) over domain-specific data - Guardrails, auditing, and safety controls for clinical/regulated contexts.
• Design and own an agent framework as a reusable platform that all Auditdata products can use: - Orchestrate tools and backend services through LLMs - Implement robust, traceable multi-step workflows - Enforce permissions, logging, and audit trails.
• Lead in best practice, support architectural decisions and ensure smooth, high-quality feature delivery
• Lead and mentor a group of engineers
• Review designs and pull requests
• Drive improvements in code quality, resilience, and observability.
• Co-create and refine AI-related architecture within broader enterprise guidelines, not just implement predefined designs
• Act as the primary hands-on expert for AI services, bringing real production constraints into architectural decisions (tradeoffs, complexity, constraints)
• Drive proposals to extend or adjust reference architectures where AI use-cases demand it.
• Define clear APIs and SDKs so other teams can build on the AI platform
• Prioritise platform work based on product needs and technical risk
• Communicate tradeoffs of model choice, quality, latency, and cost.

Benefits

• Long-term engagement in a stable, growing SaaS company.
• High engineering and product standards.
• Flexible environment with a flat organizational structure.
• Professional development opportunities, including certification support.
• A global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.
• A culture that values personal growth as much as business outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed