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ml platform engineer (m/f/d) Jobs in Munich

ml platform engineer (m/f/d)

software engineer

ml engineer

Agile Robots SE

<div>
 <p>
  <strong>
   The AI Research Division of Agile Robots
  </strong>
  is looking for an
  <strong>
   ML Platform Engineer (m/f/d)
  </strong>
  , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Training Infrastructure:
   </strong>
   Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes.
  </li>
  <li>
   <strong>
    ML Platform:
   </strong>
   Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
  </li>
  <li>
   <strong>
    CI/CD Pipelines:
   </strong>
   Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
  </li>
  <li>
   <strong>
    Lifecycle Management:
   </strong>
   Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
  </li>
  <li>
   <strong>
    Cross-Team Collaboration:
   </strong>
   Work with research, data, and robotics teams to connect new models to robust production systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Background and Experience:
   </strong>
   Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
  </li>
  <li>
   <strong>
    Distributed Training:
   </strong>
   Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
  </li>
  <li>
   <strong>
    CI/CD For ML:
   </strong>
   Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
  </li>
  <li>
   <strong>
    Cloud Infrastructure:
   </strong>
   Experience operating ML workloads on cloud infrastructure, preferably AWS.
  </li>
  <li>
   <strong>
    Experiment Tracking:
   </strong>
   Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
  </li>
  <li>
   <strong>
    Observability:
   </strong>
   Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
  </li>
  <li>
   <strong>
    Software Engineering:
   </strong>
   Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Beneficial Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Multimodal Systems:
   </strong>
   Experience with large-scale or multimodal ML systems such as vision-language-action models.
  </li>
  <li>
   <strong>
    Infrastructure As Code:
   </strong>
   Familiarity with infrastructure-as-code tools such as Terraform.
  </li>
  <li>
   <strong>
    ML Orchestration:
   </strong>
   Experience with ML pipeline and orchestration tools.
  </li>
  <li>
   <strong>
    Distributed Compute:
   </strong>
   Exposure to high-performance or distributed compute environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer
  </strong>
 </p>
 <ul>
  <li>
   Dynamic high-tech company combined with financial soundness and world class investors.
  </li>
  <li>
   Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
  </li>
  <li>
   Lots of development opportunities in the context of our continued growth.
  </li>
  <li>
   Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
  </li>
  <li>
   Corporate Benefits Program that covers health, mobility and learning with 100 &euro; net per month.
  </li>
  <li>
   Modern office facilites with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Agile Robots SE
  </strong>
  is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
 </p>
 <p>
  We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
 </p>
</div>


ML Platform Engineer (m/f/d)

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><div><p><br>
At BMW&rsquo;s Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry&rsquo;s largest real-world driving datasets, powering millions of vehicles worldwide.</p><p><b>
What awaits you?</b></p><ul><li>
You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving.</li><li>
Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale.</li><li>
You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization.</li><li>
Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains.</li><li>
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment.</li><li>
Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications.</li><li>
Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting.</li><li>
Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures.</li><li>
Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.</li><li>
Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact.</li><li>
Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets; experience in safety-critical or regulated environments is a plus.</li><li>
A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems.</li></ul><p></p><p><br>
Ready to build the end-to-end driving systems that will power the world's next generation of autonomous vehicles? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we shape the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on</p><p><b>
Type of employment: </b>unlimited</p><p><b>
Working hours: </b>full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process here.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Autonomous Driving
</div><div>Job Id:</div>
<div>188612</div>
<div>Publication Date:</div>
<div>29.05.2026</div></div>

Senior ML Engineer - Next-Generation Autonomous Driving (f/m/x)

<div><div><p><b>ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><p></p><div><p>We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You design data pipelines for ingestion, curation, pseudonymization, and versioning.</li><li>
Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.</li><li>
You set up experiment tracking and artifact registries for model variants.</li><li>
Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.</li><li>
You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.</li><li>
You build and operate the data pipelines and provide self-serve tools for the team.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Engineering, or a related field.</li><li>
Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.</li><li>
Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.</li><li>
Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.</li><li>
Motivation to embrace customer problems and find innovative solutions using available technologies.</li><li>
You enjoy working on complex problems in an international in-house team of experts.</li><li>
Professional English proficiency; German is a plus.</li></ul><p>
Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>182180</div>
<div>Publication Date:</div>
<div>27.03.2026</div></div>

Senior Applied AI / ML Data Engineer (f/m/x)

<div><div><p><b>ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><p></p><div><p>In this role, you will build, prototype, and deliver use cases that leverage edge device models. By understanding real user problems, model capabilities are translated into meaningful product experiences that make the voice assistant and in‑car intelligence truly useful. Together with the model engineering product team, you will be a key contributor to our product: the BMW Intelligent Personal Assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You will integrate models that run on edge devices within the infotainment domain.</li><li>
Furthermore, you will prototype &amp; build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.</li><li>
You will collaborate with the model engineering team to respect latency, memory, and performance budgets in edge devices and in the cloud.</li><li>
You will work closely with staff engineers to shape our model landscape and tooling infrastructure to deliver customer value.</li><li>
Additionally, you will build evaluation tools for real-world interaction quality, robustness, and failure modes.</li><li>
You will partner with our UX teams to refine design, fallback flows, and safe error handling.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Engineering, or a related field.</li><li>
At least five years of proven experience in application engineering with a track record of delivering for a large customer base.</li><li>
Strong engineering experience integrating GenAI &amp; ML models to serve delightful use cases.</li><li>
Solid Python and Java/Kotlin experience.</li><li>
You know how to debug ambiguous GenAI failures and improve behavior through iteration.</li><li>
You are hands-on with a bias for action.</li><li>
You enjoy working on complex problems in an international in-house team of experts.</li><li>
You are comfortable working with constrained, offline, edge-device models and designing around their limitations.</li></ul><p>
Are you ready to shape the future of in-car intelligence with us? Apply now!<br>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>181974</div>
<div>Publication Date:</div>
<div>27.03.2026</div></div>

Senior Applied AI / ML Application Engineer (f/m/x)

MHP – A Porsche Company

<div>
 <strong>
  Aufgaben
  <br/>
  <br/>
 </strong>
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 <strong>
  Snowflake-Expertise
 </strong>
 in herausfordernde Projekte einbringen? Du &uuml;bernimmst gerne Verantwortung f&uuml;r Projekte und Teams mit Fokus auf Snowflake-Plattformen? Dann werde Teil unseres Teams und setze deine Erfahrung in spannenden Vorhaben ein &ndash; von der strategischen Architekturplanung &uuml;ber komplexe Integrationen bis hin zur Performance-Optimierung und Umsetzung moderner Governance-Konzepte.
 <br/>
 <br/>
 Dabei warten die folgenden Aufgaben auf dich:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Verantwortung f&uuml;r die Planung, Steuerung und erfolgreiche Umsetzung komplexer Snowflake-Implementierungs- und Migrationsprojekte
  </li>
  <li>
   Entwicklung und Einf&uuml;hrung skalierbarer Datenarchitekturen und Cloud-Integrationen unter Ber&uuml;cksichtigung von Performance, Sicherheit und Compliance
  </li>
  <li>
   Strategische Beratung von Kunden zur Optimierung ihrer Datenplattform und Definition langfristiger Plattform-Roadmaps
  </li>
  <li>
   Etablierung und Weiterentwicklung von Governance-Frameworks und Sicherheitsstandards im Snowflake-Umfeld
  </li>
  <li>
   Beratung zu Best Practices, Identifikation neuer Potenziale und Unterst&uuml;tzung beim strategischen Ausbau von Daten- und AI-L&ouml;sungen beim Kunden
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Anforderungen
  <br/>
  <br/>
 </strong>
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Abgeschlossenes Studium und mindestens 6 Jahre Berufserfahrung in der Beratung mit der Snowflake-Plattform in Rollen wie Data Engineer, Developer, Analyst, Data Scientist, ML Engineer oder Administrator
  </li>
  <li>
   Leidenschaft f&uuml;r Data &amp; AI-L&ouml;sungen sowie Cloud-Technologien
  </li>
  <li>
   Expertise in Snowflake (Architektur, Optimierung, Governance) best&auml;tigt durch eine SnowPro Advanced-Zertifizierung oder vergleichbare Nachweise
  </li>
  <li>
   Umfassende Erfahrung mit Datapipelines, Cloud-Plattformen sowie mit Programmiersprachen (z.B. SQL, Python)
  </li>
  <li>
   Deine Arbeitsweise ist gepr&auml;gt von analytischem Denken, pragmatischem Vorgehen, Teamf&auml;higkeit und Kundenorientierung
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Beginn:
   </strong>
   nach Vereinbarung &ndash; immer zu Beginn eines Monats
  </li>
  <li>
   <strong>
    Arbeitszeit:
   </strong>
   Vollzeit (40h) und Teilzeit; 30 Urlaubstage
  </li>
  <li>
   Arbeitsvertrag: Unbefristet
  </li>
  <li>
   Bereich: Consulting
  </li>
  <li>
   <strong>
    Sprache:
   </strong>
   verhandlungssicheres Deutsch &amp; Englisch
  </li>
  <li>
   <strong>
    Flexibilit&auml;t &amp; Reisebereitschaft
   </strong>
  </li>
 </ul>
</div>


(Senior) Manager Snowflake (all genders)

AutoScout24

<div><div><div><div><div><div><div><div><div><p>A career driven by you. Join <b>AutoScout24 Group</b> and experience life in the fast lane. We're not just leading the market; we're creating it. We're constantly innovating, evolving and transforming things for our customers. We're driven, ambitious and determined to do our best work, together. For a career that doesn't stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.</p>
<p>
As <b>Senior Data Scientist</b>, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.</p>
<p>
You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.</p>
<p><b>
What </b><b>you'll</b><b> do</b></p>
<ul>
<li>Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement</li>
</ul><ul><li>Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability</li>
</ul><ul><li>Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes</li>
</ul><ul><li>Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints</li>
</ul><ul><li>Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems</li>
</ul>
<p><b>What </b><b>you'll</b><b> need</b></p>
<ul>
<li>Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field</li>
</ul><ul><li>5+ years of experience building and owning production ML systems end-to-end in a real-world environment</li>
</ul><ul><li>Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production</li>
</ul><ul><li>Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale</li>
</ul><ul><li>Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations</li>
</ul><ul><li>Ability to influence technical decisions through clear judgment and collaboration, not formal authority</li>
</ul><ul><li>Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback</li>
</ul><ul><li>Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery</li>
</ul>
<p><b>WHY Autoscout24</b></p>
<p><b>
A culture of growth. </b>With over 50 nationalities represented, we're proud to welcome people of all backgrounds to our growing community, and we're always finding new ways to help people feel welcomed and included. Here, you'll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.</p>
<p><b>
For a career where you can drive our business and shape your future, apply now.</b></p></div></div></div></div></div></div></div></div></div>

Senior Data Scientist (m/f/d)

Clera

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 <br/>
 <br/>
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
  </li>
  <li>
   Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
  </li>
  <li>
   Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
  </li>
  <li>
   Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
  </li>
  <li>
   Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
  </li>
  <li>
   Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
  </li>
  <li>
   Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 <strong>
  Must-haves (dealbreakers):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
  </li>
  <li>
   Demonstrated experience shipping LLM-based systems in production (not just prototypes).
  </li>
  <li>
   Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required skills &amp; experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong Python programming skills; comfortable shipping production-quality Python code.
  </li>
  <li>
   Experience turning observed real-world workflows into deployable AI automations.
  </li>
  <li>
   Ability to gather requirements directly from customers and translate them into working software.
  </li>
  <li>
   Product-minded approach &mdash; you think about the user experience, not just the model performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience designing AI interfaces for human-AI collaboration.
  </li>
  <li>
   Systematic experimentation and benchmarking of models and techniques.
  </li>
  <li>
   Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
  </li>
  <li>
   Background in or exposure to professional services, fintech, or compliance-heavy industries.
   <br/>
   <br/>
  </li>
 </ul>
 Location
 <br/>
 <br/>
 This role is
 <strong>
  on-site in Munich, Bavaria, Germany
 </strong>
 . Candidates must be willing and able to work from the Munich office.
 <strong>
  Visa sponsorship is not available
 </strong>
 &mdash; applicants must already have the right to work in Germany.
 <br/>
 <br/>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 <br/>
 <br/>
</div>


Member of Technical Staff, Product (AI Agents)

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