We're hiring our first AI Tech Lead to build the intelligence behind our coach: turning biometric and behavioural signals into personalised programmes that help people sleep better and stress less.

You’ll be the technical authority for AI across engineering; you make the calls on architecture and approach, set the standards others build to and stay hand-on in the code.

What you'll be doing

Signal interpretation: Turn wearable and in-app data into recovery, stress and sleep insights, using personal baselines and trend detection.

Multi-device data: Normalise metrics across vendors, weight sources by reliability, and handle missing data and device switches.

Recommendation engine: Personalise protocol sequences by dose and timing with classical ML (e.g. contextual bandits, sequential recommenders or RL).

Feedback loops: Learn from real user behaviour and biometric responses which protocols work, and for whom.

Evaluation: Offline metrics, online experiments and production monitoring for every model and LLM feature.

AI platform: Own the roadmap, training and serving pipelines, data quality and architecture on our Python and Azure stack.

Technical leadership: Make and own the key architecture and modelling decisions, and write them down (RFCs, ADRs etc.) so the team can build them.

Privacy: Make secure handling of sensitive health data part of the design from the start.

Collaboration: Help product, design and marketing shape AI features and understand what the models can and can't do.

Hands on: This is a builder role. You’ll be prototyping, evaluating and taking code through to production.

Requirements

6+ years in ML/AI engineering incl. 2+ years in a lead role, with at least one product taken from zero to production

Python, FastAPI and production MLOps on Azure or another major cloud

Time series, recommender systems, causal/uplift methods and strong statistics

A/B testing, model evaluation and production monitoring

LLMs and LangGraph (or similar) on Azure OpenAI, and knowing when not to use them

Experience as a tech lead or staff engineer, making technical decisions that a team of engineers followed.

Privacy-aware handling of health data

Based in Europe and fluent in English

Nice to have: bandits, RL or off-policy evaluation; health or wearable data; literature mining; AI in engineering workflows (coding agents, AI-assisted testing, CI).

Application process

Instead of a cover letter, please send us the answers to 2 of the following 3 questions together with your CV.

Tell us about an ML product you took from zero to production. What did you own, and what changed because of it?

You have a recommendation engine and want to know whether a protocol actually improves users' sleep. How would you measure that?

Tell us about a technical decision you made for a team that others disagreed with. How did you get alignment, and how did it turn out?

Job-Übersicht

Veröffentlicht

19. Oktober 2026

Standort

Berlin

Beschäftigungsart

Vollzeit

Arbeitsmodell

100% Remote

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Unternehmen

Virtusan

Berlin

Unternehmensprofil ansehen

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