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forward deployed ai engineer (m/w/d)

artificial intelligence specialist

BMW Group

<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)

ALTEN

<p></p><div><div><div><p>Die ALTEN Consulting Services GmbH bietet mit &uuml;ber 20 Jahren Branchenerfahrung ihren namhaften Kunden aus Industrie und Wirtschaft hochspezialisierte Engineering- und IT-Dienstleistungen zur gemeinsamen Realisierung von branchen- und technologie&uuml;bergreifenden L&ouml;sungen an.
<br>
<br>
Kompetenz, Engagement und Leidenschaft verbinden alle unsere Mitarbeiter der ALTEN Consulting Services GmbH. Dabei stehen ein partnerschaftliches Miteinander, ein starkes WIR-Gef&uuml;hl, der pers&ouml;nliche Kontakt zu unseren Kunden und die Kreativit&auml;t jedes Einzelnen stets im Fokus. Werde auch Du Teil unserer Erfolgsgeschichte.</p>
</div></div><p></p><div><div><div><h1 class="jobSectionHeader"><b>AI Platform Engineer &ndash; Developer Tools &amp; LLM Operations (all gender)</b></h1>
<div><p><b>Gehalt: 60.000 - 80.000 Euro, Wochenstunden: 40 Stunden
</b></p><p><b>Standort: 80469 M&uuml;nchen</b>
<br>
Referenznummer: #506289</p>
</div></div></div></div><p></p><div><div><p><b>Make it happen</b></p>
<p><b>DU...</b></p>
<ul><li>administrierst und betreust moderne AI-Cloud-Services wie Cursor und GitHub Copilot</li>
<li>verantwortest den Betrieb und die Weiterentwicklung von Entwicklungsumgebungen wie VS Code, JetBrains und Visual Studio</li>
<li>administrierst und unterst&uuml;tzt AI- und LLM-Inferenzdienste auf Kubernetes-basierten Plattformen wie OpenShift und Linux</li>
<li>arbeitest mit Technologien wie LiteLLM, vLLM, LLM-D und verschiedenen Open-Source-LLMs</li>
<li>testest, bewertest und implementierst neue Softwareversionen und Releases</li>
<li>analysierst Systemfehler, koordinierst die Fehlerbehebung und f&uuml;hrst Troubleshooting-Ma&szlig;nahmen durch</li>
<li>fungierst als zentrale Ansprechperson f&uuml;r externe Software- und Tool-Lieferanten</li>
<li>unterst&uuml;tzt Softwareentwickler bei der Nutzung und Optimierung ihrer Entwicklungswerkzeuge</li>
<li>tr&auml;gst zur kontinuierlichen Verbesserung der Entwicklungs- und AI-Plattformen bei</li>
</ul><p></p><p><b>A home where people learn and thrive</b></p>
<ul><li>Zukunftsorientierter Arbeitsplatz mit unbefristetem Arbeitsvertrag</li>
<li>Attraktive Verg&uuml;tung</li>
<li>Mobiles Arbeiten nach Absprache</li>
<li>Individuelle interne und externe Weiterbildungen</li>
<li>Flexible Arbeitszeitgestaltung mit Gleitzeitkontenregelung</li>
</ul></div><p></p><div><p><b>Be our forward thinker</b></p>
<p><b>DU...</b></p>
<ul><li>hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation</li>
<li>bringst Erfahrung im Umfeld von Softwareentwicklung und Entwicklungswerkzeugen mit</li>
<li>verf&uuml;gst &uuml;ber Kenntnisse im Scripting mit Python</li>
<li>hast Erfahrung in der Administration von Linux- oder Windows-Systemen</li>
<li>interessierst dich f&uuml;r moderne AI-Technologien, Large Language Models und Cloud-Plattformen</li>
<li>kommunizierst sicher auf Deutsch und verf&uuml;gst &uuml;ber Englischkenntnisse f&uuml;r die Zusammenarbeit in einem internationalen Umfeld</li>
<li>arbeitest gerne im Team und &uuml;bernimmst Verantwortung f&uuml;r stabile und zukunftsorientierte Plattformen</li>
</ul></div></div><p></p><div><div><p>Weitere Informationen findest Du unter: <b>www.alten-consulting.de</b><br>
<br>
</p><p></p><br>
<p>Wir wertsch&auml;tzen Vielfalt und begr&uuml;&szlig;en daher alle Bewerbungen - unabh&auml;ngig von Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identit&auml;t.<br>
<br>
</p><p></p><br>
<p>Schwerbehinderte werden bei gleicher Eignung bevorzugt ber&uuml;cksichtigt.<br>
<br>
</p><p></p><br>
<p>Bewirb dich jetzt &uuml;ber unser Online-Bewerbungsformular.</p>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>ALTEN Consulting Services</b></h3>
</div></div><div><div>Frau Anja Manglkammer
<br>
HR Talent Scout Specialist
</div><div>Frankfurter Ring 81
<br>
80807 M&uuml;nchen<br>
<br>
<br>
</div><p>0151 11 44 77 57
<br>
anja.manglkammer@alten-consulting.de</p></div></div><div></div>

AI Platform Engineer – Developer Tools & LLM Operations (all gender)

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI Engineer

Münchener Marketing Gruppe

<div><p>Du willst nicht nur bestehende Prozesse verwalten, sondern den Einsatz von K&uuml;nstlicher Intelligenz bei einer der f&uuml;hrenden Marketingagenturen in M&uuml;nchen aktiv vorantreiben?</p><p></p><p><br>
Bewirb dich jetzt als <b>AI Engineer (m/w/d)</b> in Vollzeit.</p><p></p><p><b><br>
Deine Aufgaben:
</b></p><p></p><ul><li>Prozessanalyse &amp; KI-Potenziale identifizierenDu analysierst bestehende Workflows im Team &ndash; von Content-Erstellung &uuml;ber Reporting bis zum Kundenbriefing &ndash; und erkennst, wo KI Zeit spart, Qualit&auml;t steigert oder Kapazit&auml;t freisetzt.</li><li>
KI-Workflows &amp; Automatisierungen bauenDu entwickelst praxistaugliche Prozesse mit Tools wie Claude, ChatGPT und Gemini &ndash; von Prompt-Architekturen &uuml;ber mehrstufige Agenten bis hin zu automatisierten Workflows, die direkt im Agenturalltag laufen.</li><li>
Technische Umsetzung &amp; IntegrationWo n&ouml;tig, entwickelst du eigene L&ouml;sungen mit Code &ndash; z. B. API-Anbindungen, Skripte oder kleine Tools, die bestehende Software mit KI-Funktionen erweitern.</li><li>
Schulungen &amp; interne Enablement-Videos erstellenDu machst KI f&uuml;r alle nutzbar: Du nimmst strukturierte Video-Tutorials auf, erstellst Anleitungen und begleitest das Team dabei, neue Tools sicher und effektiv in den eigenen Arbeitsalltag zu integrieren.</li><li>
Kontinuierliche Weiterentwicklung &amp; EvaluationDu beh&auml;ltst neue KI-Modelle, Tools und Best Practices im Blick, evaluierst sie auf Relevanz f&uuml;r unsere Agentur und entscheidest, was wir einsetzen &ndash; oder weiterentwickeln.</li><li>
Wirkung messen &amp; berichtenDu dokumentierst eingef&uuml;hrte L&ouml;sungen, misst deren Wirkung (Zeitersparnis, Qualit&auml;t, Akzeptanz im Team) und berichtest regelm&auml;&szlig;ig an die Gesch&auml;ftsf&uuml;hrung.</li></ul><p></p><p><b>
Warum M&uuml;nchener Marketing Gruppe?
</b></p><p></p><ul><li><b>Sicherer Arbeitsplatz:</b> Als eine der schnellst wachsenden Marketingagenturen in Deutschland mit &uuml;ber 90 festangestellten Mitarbeitenden ist es unser Ziel, dass jede Person, die wir einstellen, langfristig mit uns w&auml;chst.</li></ul><ul><li><b>
Weiterentwicklung:</b> Bei uns steigst du direkt in die Aufgaben ein und kannst dich dadurch jeden Tag pers&ouml;nlich und fachlich weiterentwickeln. Regelm&auml;&szlig;iges Feedback von deinem Mentor unterst&uuml;tzt dich dabei und hilft dir, stets den &Uuml;berblick dar&uuml;ber zu behalten, wo du gerade stehst.</li><li><b>
Tolle Arbeitsatmosph&auml;re: </b>Wir haben ein spannendes, herausforderndes und freundliches Umfeld. Wir arbeiten miteinander an gro&szlig;artigen Projekten und unterst&uuml;tzen und inspirieren uns gegenseitig, H&ouml;chstleistungen zu erzielen.
</li><li><b>Karrierechancen:</b> Wer bei uns Leistung bringt und bereit ist, stetig zu lernen und sich zu verbessern, hat in unserem wachsenden Team die M&ouml;glichkeit, entsprechend Verantwortung zu &uuml;bernehmen.</li><li><b>
Unsere Kundenergebnisse:</b> Wir sorgen f&uuml;r starke Online-Auftritte. Mit Videos, Websites sowie SEO- und Performance-Marketing-Strategien machen wir die Angebote unserer Kunden verst&auml;ndlich und sichtbar. Dadurch helfen wir unseren Kunden, mit ihren Unternehmen voranzukommen.<br>
</li></ul><p></p><br>
<br>
<br>
<ul><li>Mindestens 2 Jahre praktische Erfahrung im Einsatz von K&uuml;nstlicher Intelligenz im beruflichen Umfeld</li><li>
Erfahrung in der Entwicklung von KI-gest&uuml;tzten Workflows, Automatisierungen oder Agenten-Systemen</li><li>
Grundlegende Programmierkenntnisse (z. B. Python, JavaScript oder API-Integrationen), um technische L&ouml;sungen eigenst&auml;ndig umzusetzen</li><li>
Erfahrung mit modernen KI-Tools und Sprachmodellen wie ChatGPT, Claude oder Gemini</li><li>
Interesse an neuen KI-Technologien sowie die F&auml;higkeit, deren Potenzial f&uuml;r reale Anwendungsf&auml;lle zu bewerten</li><li>
Strukturierte, eigenst&auml;ndige und l&ouml;sungsorientierte Arbeitsweise</li><li>
Ausgepr&auml;gte Kommunikationsf&auml;higkeit, um komplexe Themen verst&auml;ndlich zu vermitteln und Teams bei der Einf&uuml;hrung neuer L&ouml;sungen zu unterst&uuml;tzen</li><li>
Verhandlungssichere Deutschkenntnisse in Wort und Schrift</li></ul><p><br>
Klingt ganz nach dir? Dann bewirb dich jetzt &uuml;ber unser Online-Formular!</p></div>

AI Engineer (m/w/d)

<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)

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
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.</p><p>
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.</p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</p></li><li><p>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</p></li><li><p>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</p></li><li><p>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</p></li><li><p>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</p></li><li><p>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</p></li><li><p>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Must-haves (dealbreakers):</b></p><ul><li><p>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</p></li><li><p>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</p></li><li><p>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</p></li></ul><p><b>
Required skills &amp; experience:</b></p><ul><li><p>
Strong Python programming skills; comfortable shipping production-quality Python code.</p></li><li><p>
Experience turning observed real-world workflows into deployable AI automations.</p></li><li><p>
Ability to gather requirements directly from customers and translate them into working software.</p></li><li><p>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</p></li></ul><p><b>
Nice to have:</b></p><ul><li><p>
Experience designing AI interfaces for human-AI collaboration.</p></li><li><p>
Systematic experimentation and benchmarking of models and techniques.</p></li><li><p>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</p></li><li><p>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</p></li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><p>
This role is <b>on-site in Munich, Bavaria, Germany</b>. Candidates must be willing and able to work from the Munich office. <b>Visa sponsorship is not available</b> &mdash; applicants must already have the right to work in Germany.</p><h3 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h3><p>
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.</p></div>

Member of Technical Staff, Product (AI Agents)

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>


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