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Senior AI Engineer, Healthcare Startup
PlaynVoiceSenior AI Engineer in a healthcare startup reshaping mental health documentation through AI. Collaborating in a hybrid environment to drive innovation and clinical output quality.
Core Competencies
Role fitCore Competencies
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Demonstrates expertise in Prompt Engineering and LLM integration, with a strong foundation in Python and cloud infrastructure. Capable of ensuring clinical output quality through effective collaboration and communication in both English and German.
Highest-signal resume keywords
Prompt Engineering ExpertiseLLM IntegrationPython ProgrammingCloud Infrastructure (Azure)German Language Skills
ATS Keywords
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Hard Skills
Prompt EngineeringLLM Solutions EvaluationData Pipeline DesignClinical DocumentationSoftware EngineeringProduction-Grade SystemsExperiment DesignData Labeling Strategies
Soft Skills
Clear CommunicationPragmatic MindsetCollaboration
Industry Keywords
Clinical DocumentationSaaSAudio TranscriptionUser ExperienceIterative Development
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Prompt Engineering & Pipeline Management: Design, iterate, and maintain prompt systems that reliably generate high-quality clinical documentation across a growing number of templates.
- Build scalable prompt architectures that let us add new output formats without fragmentation.
- Evaluate & Integrate AI Models: Benchmark and select the best LLM solutions for clinical documentation. Stay on top of the rapidly evolving model landscape and assess new options.
- Build Evaluation Pipelines: Design practical evaluation processes across our data pipeline from audio and transcription to LLM-generated output. The goal isn't perfection but knowing when output is good enough.
- Ensure Clinical Output Quality: Work closely with our psychologists and product team to define what "good" looks like, ensuring features meet the real-world expectations of users.
- Experiment, Ship, Iterate: Design experiments and data labeling strategies, push them to production, measure real-world performance, and use the insights to drive the next iteration.
Requirements
What you’ll need- Prompt Engineering & LLM Expertise: 2+ years of deep experience in systematic prompt engineering, building structured prompt systems that produce reliable outputs at scale.
- Software Engineering Foundation: Solid engineering skills in Python and cloud infrastructure (we run on Azure). You build reliable, production-grade systems, not just notebooks.
- German Language Skills: You need to understand Swiss German to sanity check AI-generated notes against the original audio. Strong High German for evaluating written clinical output.
- Pragmatic Startup Mindset: You know that good enough is good enough. You ship fast, iterate based on real-world feedback, and resist over-engineering. Ideally you've worked in an early-stage SaaS company.
- Clear Communicator: Our team works in English day-to-day. You can articulate technical decisions and collaborate effectively across functions.
Benefits
Comp & perks- Real Impact, Fast: 500+ therapists use our product daily, your work improves their lives within days, not quarters.
- Unique Problem Domain: Clinical AI at the intersection of Swiss German speech, mental health, and regulatory requirements.
- Massive Ownership: A team of ~10 means your decisions shape the product directly.
- Flexibility: Remote-first with flexible hours and a coworking space in Zürich when you want it.
- Equity: Meaningful stake in a high-growth healthtech company.