# Staff AI/ML Engineer (all) at Xolife

> Germany · Staff · ML / AI · open. Source: https://alderhq.app/jobs/personio%3Axolife%3A2809859 (read 2026-11-08).

## Facts (observed)

- Company: [Xolife](https://alderhq.app/companies/xolife)
- Location text: Berlin; München
- Where it can be done from (inferred): Germany (evidence: "Location: Berlin; München")
- Posted: 2026-09-22 (47 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://xolife.jobs.personio.de/job/2809859
- Skills listed (inferred): LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Germany, n 7): p25 €77k, median €108k, p75 €155k

## Description (the employer's text)

### Who we are looking for

We’re looking for a Staff AI/ML Engineer to take technical ownership of our AI/ML work end-to-end. You’ll work on complex AI/ML problems, lead projects from idea to implementation, and help shape how we build and scale AI across the company. You’ll bring hands-on experience building and leading projects end-to-end, along with the ability to go deep into technical decisions, edge cases, and trade-offs.

### Your mission

Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs, depending on the problem.

Design AI/ML systems and architecture, including greenfield projects.

Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.

Audit our current AI setup and help define the AI strategy and roadmap.

Lead cross-functional AI initiatives and drive them from idea to implementation.

Challenge existing technical decisions constructively and stay focused on the product and the result.

### Your background

Proven experience leading AI/ML projects end-to-end in a startup/product environment.

Strong AI/ML and Data Science expertise, including classic ML and GenAI, with a solid software engineering foundation and hands-on experience building AI/ML solutions.

Understanding of data and ML infrastructure, including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management.

Strong system design and architecture skills.

Proactive, ownership-driven, and results-oriented, with a strong product mindset.

Open to feedback and comfortable challenging technical decisions constructively.

### Why us?

- Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.
- True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.
- International team: Join colleagues from 14+ nationalities, united by a shared vision.
### Hiring Process

- Recruiter Screening
- Leadership Interview
- Technical Deep Dive
- Decision

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Axolife%3A2809859 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.