ai engineer (m/f/d)

full stack engineer

senior product engineer

ai adoption engineer - m/f/d Jobs in Berlin

ai adoption engineer - m/f/d

ai engineer — genai & agentic solutions (m/w/d) amazon web services Jobs in Berlin

automation software engineer

Wolters Kluwer

<div>As a Senior QA Automation Engineer (m/f/d), you'll be joining Libra to help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we're transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role 
We're looking for an exceptional QA Automation Engineer to join our fast-growing engineering team. You'll lead a small but high-leverage QA function on a team where every engineer owns the quality of their own work &mdash; and your job is to make that scale. 
You'll design and own the automated testing framework, the CI pipeline, and the AI-assisted tooling that lets the whole team ship with confidence. You'll write the complex, cross-cutting end-to-end tests yourself, and you'll multiply the impact of every feature engineer through the framework, patterns, and tooling you build for them. 
This is a high-ownership role at the intersection of testing, developer experience, and AI tooling &mdash; an unusually broad mandate for someone who wants to define how a fast-moving legal AI product stays trustworthy as it grows. 
You'll be part of a highly skilled technology organization and a fast-growing product organization. An ambitious and thrilling place to be as you'll be essential to both strategic alignment and local execution. You'll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you'll do<ul><li>
Own, evolve, and continuously improve the automated test framework that the entire engineering team builds on.</li><li>
Design and build the end-to-end and integration tests for our most complex, cross-cutting flows &mdash; the ones individual feature engineers shouldn't be writing alone.</li><li>
Pair with and coach engineers on test design for larger features &mdash; review their test plans, unblock them on tricky cases, raise the bar through example.</li><li>
Build out continuous testing in CI: modern pipelines with parallelism, fast feedback, and a trustworthy signal &mdash; including the quality gates that block merges and deployments.</li><li>
Lead the integration of AI-powered testing tools and background agents into the pipeline &mdash; for test generation, regression detection, flakiness triage, and self-healing suites.</li><li>
Establish testing patterns for non-deterministic features &mdash; LLM responses, RAG retrieval, async Celery pipelines, real-time SSE streams &mdash; that stay stable as models and prompts evolve.</li></ul> 
What you'll bring 
Education
Bachelor's degree preferred in Software Engineering or a related technical field. 
Experience<ul><li>
Minimum 5 years of relevant experience in software engineering, with substantial focus on test automation and CI infrastructure.</li><li>
Strong proficiency with Python (pytest, async) and TypeScript (Playwright or equivalent end-to-end framework).</li><li>
Deep CI/CD experience on a modern platform &mdash; GitHub Actions or similar &mdash; including parallelism, caching, matrix builds, and cost-aware pipeline design.</li><li>
Hands-on experience using AI coding agents like Cursor or Claude Code, and a clear point of view on how to apply them to testing workflows.</li><li>
Proven experience testing distributed, asynchronous, eventually-consistent systems with queues, external APIs, and real-time components.</li><li>
Bonus: You've built test infrastructure or evaluation harnesses for LLM-powered products.</li></ul> 
Skills<ul><li>
Developer-experience mindset &mdash; you optimize for the engineers who use your framework, not for your own preferences.</li><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. You know what *not* to automate, and you're willing to kill tests that aren't earning their keep.</li><li>
Communicates risk and quality in terms the business understands, not bug counts.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together 
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we've established ourselves as Europe's fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers. Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid<h2 class="jobSectionHeader">
Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior QA Automation Engineer (Libra - Legal AI Assistant) (m/f/d)

Aleph Alpha

<div>
 Our Mission
 
 
 Aleph Alpha is one of the few companies in Europe doing serious foundation model pre- and post-training. We're building models that have general-purpose capabilities, and specifically excel at addressing the needs of our customers.
 
 
 We're looking for exceptional Software Engineers to join our model training team. Most of the team is based in Heidelberg .
 
 
 Team Culture
 
 
 At Aleph Alpha, we foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organizational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose.
 
 
 We believe a strong engineering culture is the key to model training success. We like Extreme Programming and favor trunk-based development. We often mob-program, which keeps us aligned and means we always learn from each other.
 
 
 
 About The Role
 
 
 
 As a Software Engineer in Model Training, you'll work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you'll be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals.
 
 
 No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term.
 
 
 We're still building out our training pipeline and infrastructure. Some pieces exist, some don't, and you'll have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Co-own the training pipeline end-to-end. Design, build, and maintain the infrastructure and components that let us iterate fast on experiments.
 </li>
 <li>
 Build high-quality tooling. Model training is a continuous effort, and we deliberately invest in our tooling and infrastructure to stay successful long term.
 </li>
 <li>
 Collaborate across disciplines. We believe in cross-functional teams. Engineers and researchers work closely so we can learn from each other and iterate faster together.
 </li>
 <li>
 Champion good engineering practices. Working incrementally, maintaining fast feedback loops, and refactoring continuously keep a team successful long-term, especially when moving fast.
 </li>
 <li>
 Shape the direction of the team. Our culture empowers individuals to take ownership. If you see that we'll need more GPUs, a different storage system, or a change to how the team is set up, you should drive this change.
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 In the model training team, we hire slowly and deliberately. We recognise that we need top talent to deliver the best models, and we value ability over experience: if you think you would be a good fit for this role and training an LLM in Europe excites you, we want to hear from you.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 A track record of taking initiative to deliver high-impact work.
 </li>
 <li>
 Experience contributing in high-performing teams.
 </li>
 <li>
 Degree in computer science, engineering, or a related field.
 </li>
 <li>
 Willingness to relocate to Germany. Our primary working locations are Heidelberg (preferred) and Berlin, although there is some flexibility to work from other locations in Germany with regular travel to Heidelberg (potentially weekly).
 </li>
 <li>
 Ability to write software that other strong engineers want to read and build on.
 </li>
 <li>
 Desire to take ownership of problems and collaborate with other teams to solve them.
 </li>
 <li>
 Deep interest in how state-of-the-art foundation models work.
 </li>
 <li>
 Strong communication skills, with the ability to convey technical solutions to diverse audiences.
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <ul>
 <li>
 Experience working with distributed systems.
 </li>
 <li>
 Experience working with Kubernetes.
 
 
 </li>
 </ul>
 
 About
 
 
 
 We do not require prior experience in machine learning for this role, but we do value your eagerness to learn. If you have prior experience in ML, we will be particularly excited about:
 
 
 <ul>
 <li>
 Experience bringing AI research innovations into production.
 </li>
 <li>
 Experience in areas such as large-scale data processing or distributed computation for foundation model training or inference.
 </li>
 <li>
 Experience with performance engineering: profiling, benchmarking, and optimizing code for throughput, latency, or memory.
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Become part of an AI revolution!
 </li>
 <li>
 30 days of paid vacation
 </li>
 <li>
 Access to a variety of fitness &amp; wellness offerings via Wellhub
 </li>
 <li>
 Mental health support through nilo.health
 </li>
 <li>
 Substantially subsidized company pension plan for your future security
 </li>
 <li>
 Subsidized Germany-wide transportation ticket
 </li>
 <li>
 Budget for additional technical equipment
 </li>
 <li>
 Flexible working hours for better work-life balance and hybrid working model
 </li>
 <li>
 Virtual Stock Option Plan
 </li>
 <li>
 JobRad&reg; Bike Lease
 </li>
 </ul>
</div>

Senior AI Software Engineer – Model Training (f/m/d)

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 ML Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
 </li>
 <li>
 Identify bugs, edge cases, performance issues, and failure modes in AI models.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic ML engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional machine learning engineering experience.
 </li>
 <li>
 Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience deploying ML systems to production.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

AI/ML Engineer - Fully Remote | Upto $85/hr

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
 <li>
 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
 <li>
 Build and deploy scalable ML solutions into production environments
 </li>
 <li>
 Design automation solutions that reduce manual effort and improve operational efficiency
 </li>
 <li>
 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
 </li>
 <li>
 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
 </li>
 <li>
 Research emerging technologies and rapidly evaluate their suitability for business applications
 </li>
 <li>
 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Practical experience working with generative AI technologies including diffusion models and GANs
 </li>
 <li>
 Understanding of ML deployment, scalability, performance optimisation, and production environments
 </li>
 <li>
 Experience with Docker and cloud-based infrastructure
 </li>
 <li>
 Knowledge of creative AI tools and visual content workflows
 </li>
 <li>
 Experience working with image-based products, digital content platforms, or related industries
 </li>
 <li>
 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
 </li>
 <li>
 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and machine learning technologies
 </li>
 <li>
 Highly collaborative and innovative working environment
 </li>
 <li>
 Flexible working arrangements with hybrid options
 </li>
 <li>
 Exposure to challenging technical problems with real-world impact
 </li>
 <li>
 Professional development support, training, and continuous learning opportunities
 </li>
 <li>
 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</div>

Machine Learning Engineer

Capgemini

<div><div><div><div>Wenn du dich f&uuml;r Capgemini entscheidest, w&auml;hlst du ein Unternehmen, in dem du die M&ouml;glichkeit hast, deinen Karriereweg selbst zu gestalten. Du wirst von einem kollaborativen Netzwerk von Kolleg*innen auf der ganzen Welt unterst&uuml;tzt und inspiriert und kannst neu definieren, was m&ouml;glich ist. Schlie&szlig;e dich uns an und unterst&uuml;tze die f&uuml;hrenden Organisationen der Welt, den Wert von Technologie zu erschlie&szlig;en und eine nachhaltigere, inklusivere Welt zu gestalten.
<div><div><div><h2 class="jobSectionHeader">Deine Rolle</h2>
</div><div>Souver&auml;ne KI‑Plattformen sind die Grundlage f&uuml;r sichere und leistungsf&auml;hige KI‑Anwendungen. Als AI Platform Engineer (w/m/d) gestaltest du die technische Basis f&uuml;r LLM‑Inferenz, Daten‑/Vector‑Stores und moderne AI‑Workloads &ndash; automatisiert, skalierbar und compliant. Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.
<ul><li>Du konzipierst, automatisierst und betreibst KI‑Plattformen mit Kubernetes, IaC und GitOps &ndash; von Netzwerk &amp; Security bis zu CI/CD.</li>
<li>Du integrierst und konfigurierst AI‑Komponenten (z. B. LLM‑Serving, RAG‑Pipelines, Vector‑Datenbanken) und optimierst Performance &amp; Kosten.</li>
<li>Du verantwortest Observability (Monitoring/Logging/Tracing) und Sicherheit (Secrets, Zertifikate, SSO/IAM, Hardening) f&uuml;r produktive Umgebungen.</li>
<li>Du arbeitest eng mit DevOps, Architekt*innen und AI‑Teams zusammen und entscheidest technologisch &uuml;ber Plattform‑Bausteine.</li>
<li>Du baust mit uns den Managed Service f&uuml;r den Plattformbetrieb (SLIs/SLOs, On‑Call, Incident‑Prozesse) auf und entwickelst ihn weiter.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Dein Profil</h2>
</div><div><ul><li>Mehrj&auml;hrige Erfahrung im DevSecOps/Platform‑Engineering in produktiven Umgebungen; Automatisierung liegt dir im Blut.</li>
<li>Sehr gute Kenntnisse in Kubernetes, Python und Infrastructure as Code (Terraform, Ansible o. &auml;.) inkl. GitOps‑Workflows.</li>
<li>Praxis im Betrieb verteilter Systeme inkl. Multi‑Service‑Orchestrierung (z. B. Reverse Proxies), Observability und Security‑Hardening.</li>
<li>Erste oder vertiefte Erfahrung mit KI‑Plattform‑Bausteinen: LLM‑Inferenz (z. B. vLLM/Triton), RAG, Vector‑Datenbanken und Frameworks (z. B. Langchain, Pydantic, FastAPI).</li>
<li>Motivation, souver&auml;ne KI‑Plattformen aktiv mitzugestalten und neue Technologien schnell zu erlernen; Deutsch &amp; Englisch mind. C1.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Was du bei uns sch&auml;tzen wirst</h2>
</div><div><ul><li>Wir legen gro&szlig;en Wert auf die Vereinbarkeit von Arbeit und Privatleben. Deshalb hast du bei uns die M&ouml;glichkeit, hybrid aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir flexible Arbeitszeitmodelle.</li>
<li>Dein Einstieg bei uns: In den ersten 12 Monaten deiner unbefristeten Festanstellung startest du mit unserem Einsteigerprogramm GetStarted direkt durch. Die Mischung macht&acute;s: Die Arbeit in Top-Projekten, professionelle Trainings, die enge Betreuung durch pers&ouml;nliche Mentor*innen und der Austausch mit Managern sowie Kolleginnen und Kollegen aus aller Welt bilden die perfekte Grundlage f&uuml;r deine IT-Karriere.</li>
<li>Wir &uuml;bernehmen eine f&uuml;hrende Rolle, wenn es darum geht, Technologie verantwortungsvoll f&uuml;r nachhaltigen Fortschritt einzusetzen. Unser Ziel ist es, Kunden dabei zu helfen, bis 2030 10 Millionen Tonnen CO2-&Auml;quivalente einzusparen.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Deine Benefits</h2>
</div><div><div><ul><li>Flexible Arbeitszeit- und Auszeitmodelle</li>
<li>Mobiles Arbeiten &ndash; auch hybrid von Zuhause aus</li>
<li>Jobfahrrad-Programm</li>
<li>Mobilit&auml;tsbudget</li>
<li>Vielf&auml;ltiges Weiterbildungsangebot</li>
<li>Internationales Netzwerk</li>
<li>Kooperation mit dem pme Familienservice</li>
<li>Deferred Compensation &ndash; im Alter gut abgesichert</li>
<li>Verl&auml;ngerte Entgeltfortzahlung im Krankheitsfall</li>
<li>Gesundheitsangebote</li>
<li>Attraktiver Arbeitsplatz f&uuml;r Menschen mit Handicap</li>
<li>Kontakthalteprogramm fareWelcome!</li>
<li>Work-life-balance</li>
<li>Mitarbeiterrabatte</li>
<li>Team- und Sportevents</li>
</ul></div><div>S&auml;mtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten &Uuml;berblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils g&uuml;ltigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen.
</div></div></div><div><div><h2 class="jobSectionHeader">Bewirb dich jetzt</h2>
</div><div>F&uuml;r den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf.
Bitte sende keine Bewerbungen per E‑Mail. Bewerbungen werden ausschlie&szlig;lich &uuml;ber unser Online‑Bewerbungssystem entgegengenommen. Eingehende Bewerbungen per E‑Mail werden aus Datenschutzgr&uuml;nden ungelesen gel&ouml;scht. Bei Fragen steht dir Athina Deligkiozi unter career.de@capgemini.com zur Seite. Diese Anzeige ist online, solange die Stelle verf&uuml;gbar ist.
Capgemini lebt Vielfalt am Arbeitsplatz. Diversit&auml;t sorgt in unserem Unternehmen f&uuml;r Inspiration und Innovation. Wir freuen uns besonders &uuml;ber Bewerbungen von qualifizierten Talenten, unabh&auml;ngig von Herkunft, Nationalit&auml;t, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.
</div></div></div>Capgemini ist ein globaler Partner f&uuml;r die KI-gest&uuml;tzte Gesch&auml;fts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert f&uuml;r seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realit&auml;t werden l&auml;sst. Seit fast 60 Jahren steht Capgemini f&uuml;r Verantwortung wie auch Vielfalt und besch&auml;ftigt 420.000 Mitarbeitende in &uuml;ber 50 L&auml;ndern. Das End-to-End-Leistungsspektrum gr&uuml;ndet auf einer umfangreichen Branchenexpertise, einem starken Partner-&Ouml;kosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2024 einen weltweiten Umsatz von 22,1 Milliarden Euro.</div></div></div></div>

AI Platform Engineer (w/m/d)

Kassenärztliche Bundesvereinigung KdöR

<div><div><div>Wir suchen f&uuml;r unser Dezernat Digitalisierung und IT zum 01.10.2026 befristet bis zum 30.09.2027 eine/n Werkstudent/-in (w/m/d) f&uuml;r die Abteilung Daten und Automatisierung.
<h1 class="jobSectionHeader">Werkstudent/-in (w/m/d) Daten und Automatisierung
</h1>Mit Ihrer Expertise tragen Sie zu ausfallsicherer Software bei, die im Ernstfall Leben rettet im reibungslosen Praxis-betrieb f&uuml;r mehr als 75 Millionen gesetzlich Krankenversicherte.
<div><div><div>Ihre Aufgaben
</div><ul><li>Unterst&uuml;tzung der Data Engineers und Analysts
<ul><li>Mitarbeit bei Datenanalysen und der Aufbereitung von Auswertungen</li>
<li>Unterst&uuml;tzung im Datenmanagement und bei der Integration verschiedener Datenquellen</li>
</ul></li><li>Mitwirkung bei der Automatisierung von Datenverarbeitungsprozessen
<ul><li>Monitoring und Verwaltung von Datenlieferungen</li>
<li>Unterst&uuml;tzung beim Datenaustausch mit Stakeholdern im Gesundheitswesen</li>
</ul></li><li>Dokumentation und Pflege von Daten- und Prozessstrukturen</li>
</ul>
</div><div><div>Ihr Profil
</div><ul><li>Sie sind Student/-in (m/w/d) der Medizin-, Wirtschafts-, oder technischen Informatik oder vergleichbarer Studieng&auml;nge</li>
<li>Sie verf&uuml;gen &uuml;ber Kenntnisse im Bereich Datenbanken und in der Programmierung (SQL, Python)</li>
<li>Ausgepr&auml;gte F&auml;higkeit zu analytischem, logischem und abstraktem Denken</li>
<li>W&uuml;nschenswert sind erste Kenntnisse in den Bereichen Datenmodellierung, DWH, BI-Tools und QS</li>
<li>Sie verf&uuml;gen &uuml;ber nachweisbare Deutschkenntnisse auf Niveau C1 (GER)</li>
<li>Neben Ihren fachlichen Qualifikationen verf&uuml;gen Sie &uuml;ber eine teamorientierte Arbeitsweise in einem interdisziplin&auml;ren Arbeitsumfeld und die dazu notwendige Kommunikationsf&auml;higkeit in Wort und Schrift</li>
</ul>
<div>Wir bieten Ihnen
</div><ul><li>Abwechslung: Sie genie&szlig;en die Vorteile eines &ouml;ffentlichen Arbeitgebers und agieren zugleich in einem innovativen Umfeld.</li>
<li>Fr&uuml;haufsteher oder Langschl&auml;fer? Ihre Arbeitszeit k&ouml;nnen Sie flexibel durch mobiles Arbeiten und unser Gleitzeitmodell gestalten.</li>
<li>Verg&uuml;tung: Die Verg&uuml;tung erfolgt nach der hauseigenen Entgeltsystematik der KBV unter Ber&uuml;cksichtigung der Anforderungen der Stelle sowie der einschl&auml;gigen Qualifikation. Der Bruttostundenlohn betr&auml;gt 13,90 Euro bis 15,00 Euro.</li>
<li>Berufliche Entwicklung: Wir f&ouml;rdern Sie mit passenden Weiterbildungen in unserer hauseigenen Akademie oder bei externen Anbietern.</li>
<li>Weitere Benefits: Kantine, Sportangebote sowie Zuschuss zum Firmenticket sind nur einige Beispiele.</li>
</ul>
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Werkstudent/-in (w/m/d) Daten und Automatisierung

mediaire GmbH

<div><h4 class="jobSectionHeader">ABOUT THE ROLE</h4>
As our second QA Engineer, you will take real ownership of quality across our products and help shape how QA is built in our team from the ground up. Working closely with our QA Lead, you will independently drive test planning, build automation, and improve quality standards across the entire development lifecycle - from frontend to cloud infrastructure. You&rsquo;ll work with cutting-edge technologies including AI-based computer vision, browser-based 3D visualization, and modern cloud systems - all contributing to software that helps clinicians make faster and more accurate diagnoses.<h4 class="jobSectionHeader"> 
YOUR RESPONSIBILITIES</h4><ul><li>
Take ownership of test planning for releases - from defining scope to keeping documentation up to date.</li><li>
Build and maintain automated tests using Playwright across our frontend and backend systems.</li><li>
Test and validate our cloud-based infrastructure (AWS), making sure everything runs reliably in production.</li><li>
Work closely with engineers, product managers, and regulatory stakeholders to ensure smooth and high-quality releases.</li><li>
Investigate bugs, identify root causes, and help improve overall product stability.</li><li>
Track and improve quality over time by looking at metrics like bugs per release or test coverage.</li><li>
Continuously challenge and improve how we approach testing as a team.</li></ul><h4 class="jobSectionHeader">
YOUR BACKGROUND</h4>
We are looking for a hands-on QA Engineer who enjoys ownership and building scalable testing systems. 
 
Must-have 
 &bull; 3+ years of experience in software quality assurance. 
 &bull; Strong experience with test automation (ideally Playwright). 
 &bull; Solid programming skills (Python and/or TypeScript). 
 &bull; Experience with testing frameworks (e.g. pytest or similar). 
 &bull; Familiarity with CI/CD pipelines, version control, and Docker. 
 &bull; Comfortable working in Linux environments. 
 &bull; Ability to work independently and take ownership of test planning. 
 
Nice to have 
 &bull; Experience with AWS or cloud-based systems. 
 &bull; Exposure to medical software or regulated environments (FDA, CE). 
 &bull; Experience with performance or load testing. 
 &bull; Basic understanding of security testing.<h4 class="jobSectionHeader">
WHAT YOU CAN EXPECT</h4><ul><li>
Focus on what matters: At our company, competence, personality, and commitment are more important than formalities or the study program you chose.</li><li>
Your Impact: Your work helps make disease diagnosis faster, more precise, and more manageable.</li><li>
Your Team: Join a highly motivated, interdisciplinary team with fast decision-making processes and a collaborative atmosphere.</li><li>
Freedom to choose: Work remotely or from our office in Berlin-Kreuzberg - whatever suits you best.</li><li>
Benefits: Use your personal benefits budget flexibly and choose the perks that suit you best!</li></ul><h4 class="jobSectionHeader">
About us</h4>
At mediaire, we are redefining healthcare with AI. Founded in 2018, we develop clinically integrated software that helps radiologists assess medical imaging data faster, more precisely, and more objectively - making a real difference in everyday clinical practice. Today, our solutions are trusted by hospitals and practices across Europe, where they save time, increase confidence, and improve outcomes for patients. 
 
Our Vision: A healthier world with universal access to accurate diagnoses. 
Our Mission: AI power in every scan. Confidence in every diagnosis. Efficiency that reaches every patient. 
 
At mediaire, we live by our values: Innovation, Integrity, Dedication, Customer-Centricity and Teamwork. 
 
What truly sets us apart is our team: radiologists working side by side with engineers, data scientists, and experts from medicine, technology, and beyond. This unique collaboration ensures our AI is not just innovative, but impactful in routine clinical workflows.
 
 
If you&rsquo;re ready to shape the future of medical AI and make a real difference in healthcare - join us!</div>

QA Engineer (all)

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