AI Engineer at PlaynVoice leveraging AI to improve clinical documentation for mental health care. Collaborate with a diverse team to shape the future of therapy support.
Responsibilities
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
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
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.
Responsible AI Engineer at SeekOut creating responsible AI frameworks and governance tooling. Collaborating across teams to ensure ethical AI deployment and compliance with regulations.
AI Engineer developing intelligent automation solutions to improve financial advice accessibility. Collaborating with stakeholders and AI partners to deliver practical automation and AI solutions.
Principal Software & AI Architect at Blue Origin developing AI - driven solutions for rocket engines. Focused on product and SaaS solution architecture and enterprise guardrails.
Senior AI Engineer leading initiatives at Suno, leveraging AI technologies to develop innovative financial solutions and improve operational efficiency.
Data Management & AI Lead shaping enterprise - wide patient data and AI capabilities for global healthcare leader. Enabling scalable solutions and driving responsible AI adoption across platforms.
Jr. AI Engineer developing AI automations and company - wide tools for Infillion. Collaborating across teams to enhance efficiencies using AI solutions.
Senior AI Engineer at Futurice designing innovative AI solutions focused on Generative AI. Collaborating with clients to reshape business operations using data and AI.