Senior AI-Product Engineer

Your role

The wealthy have always enjoyed better, more personalized healthcare. AI allows us to bring this to the rest of us. Ahead Health raised its Seed round with great investors and is now scaling.

As our Senior AI Product Engineer, you’ll design and build the AI-powered features that sit at the core of our product—personalized health plans, conversational health interfaces (“talk to your body”), intelligent triage, and proactive health nudges. You own features end-to-end: from understanding what our customers need, through prompt and context engineering, to production deployment, evaluation, and monitoring.

Deploying AI for consumer health carries dimensions you won’t find in a typical product role. Every output can influence a real health decision, so you’ll need to engineer for medical accuracy, graceful handling of uncertainty, and hallucination prevention at every layer. You’ll navigate regulatory frameworks, not as abstract compliance boxes but as design constraints that shape how features work. You’ll build trust through transparency: helping customers understand what the AI knows, what it doesn’t, and when to involve a doctor. And you’ll balance deep personalization with rigorous data privacy, ensuring that sensitive health data is always handled with the care it demands.

This is not a research or infrastructure-only role. You ship products and features. You care deeply about AI quality and reliability because in healthcare the stakes are high; but you also care about delightful user experiences and rapid iteration. You’ll work closely with our CEO, CTO, CPO, doctors, designers, and engineers.

Responsibilities

• Ship AI-powered product features. Design, build, and iterate on features like AI-assisted health plans, conversational health interfaces, and personalized recommendations that customers trust and love.

• Own quality end-to-end. Build rigorous evaluation frameworks, automated monitoring, and guardrails so that AI outputs meet clinical standards. Establish metrics, observability, and feedback loops for every AI feature you ship.

• Architect for production. Develop robust AI systems, whether that’s prompt and context engineering, agentic workflows, classical ML models, or hybrid approaches. Deliver the best product outcome that delights users and works reliably at scale.

• Ensure medical accuracy and safety. Implement doctors-in-the-loop review systems, output validation, and safety guardrails aligned with regulatory requirements.

• Optimize for performance and cost. Tune prompts, select models, evaluate emerging techniques, and manage AI costs. Keep quality and latency within product requirements while bringing relevant innovations to production quickly.

• Drive data quality for AI. Shape how health data flows into your features. Defining what data you need, how it’s structured, and how feedback loops keep AI outputs improving over time.

Need to have

• Five to 8+ years of software engineering experience, with 3+ years building and shipping production AI/LLM-powered product features.

• Product-minded engineering. You think in terms of customer outcomes, not just model metrics. You’ve shipped AI features that real users rely on.

• Strong AI/LLM fundamentals. Deep experience with foundation model APIs, prompt engineering, context engineering, and orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalent).

• Production AI quality mindset. Hands-on experience with LLM evaluation, output monitoring, observability, A/B testing, and pragmatic model governance.

• Strong software fundamentals. Python, API development, testing, CI/CD—enough to own a feature from prototype to production without depending on a separate backend team. Comfortable working in cloud environments (GCP preferred).

• Passionate about responsible AI in health. Deep appreciation for data privacy, model bias, explainability, and the unique ethical considerations of applying AI to health.

Great to have

• You’ve built AI-first products from scratch. As a founder, early-stage employee, or on a new product line.

• Fine-tuning, model optimization, or multi-agent systems experience.

• Healthcare domain knowledge: clinical workflows, medical terminology, FHIR standards, digital health, or clinical decision support.

• Experience building AI features in regulated or high-stakes domains, e.g. healthcare, fintech, insurance, or similar, where output accuracy and safety directly affect end users.

• Research background: M.Sc. or Ph.D. in Computer Science, AI/ML, or related field.

• Swiss or European healthcare compliance experience.

What we offer

• Full-time, Zürich-based (relocation assistance negotiable). CHF 140K–150K + significant equity.

• Shape the future of preventive health in Europe through cutting-edge AI.

• Work at the intersection of frontier AI technology and meaningful impact on people’s health.

• Direct access to medical experts and real customer feedback to inform your work.

• Small, experienced, technical, and mission-led team from Google, Coolblue, Kaia Health, and Oxford.