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(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

(senior) software engineer - robotic applications Jobs in Munich

ai platform engineer – developer tools & llm operations (all gender) Jobs in Munich

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

platform software 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></p><p><br>
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.</p><br>
</div><p></p><div><p>As a Senior AI Platform Engineer, you will play a pivotal role in advancing the Data &amp; AI transformation at the BMW Group by developing state-of-the-art AI platform solutions to train, run, and continuously improve tailored AI models for our connected vehicles all around the world.</p><p><b>
What awaits you?</b></p><ul><li>
You build and operate AI platforms for data pipelines, training, deployment, and inference.</li><li>
You optimise for best-in-class AI models, employing suitable ML and LLM approaches.</li><li>
You take technical leadership and ownership, from architecture across teams to mentoring engineers towards operational excellence of AI-based systems.</li><li>
You analyse stakeholder requirements and translate them into scalable AI platform features that enable hundreds of teams.</li><li>
You ensure reliability, performance, and cost-efficient operation of AI-based systems.</li><li>
You develop solutions for efficient interoperability and load distribution between in-vehicle and cloud platforms.</li><li>
You create data and context management solutions to power personalised, customer-centric AI experiences.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
A university degree in Computer Science, Data Science, or a comparable qualification.</li><li>
At least five years of professional experience in (AI) platform engineering, AI training and inference, or AI tooling.</li><li>
A track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices.</li><li>
Experience with AI solutions on the edge or enthusiasm to transfer your knowledge to the in-vehicle domain.</li><li>
Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go, as well as API technologies.</li><li>
A deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes), and (ML)Ops of scalable cloud services.</li><li>
Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.</li></ul><p>
Would you like to help us drive the AI transformation at BMW? 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 (especially e-mail) cannot be considered.</p><p><b>
What we offer?</b></p><ul><li>
Challenging projects through which we are shaping the mobility of tomorrow together.</li><li>
A wide range of personal and professional development opportunities.</li><li>
Attractive, fair, and performance-related remuneration.</li><li>
A high level of job security.</li><li>
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks&rsquo; annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p><b>
Start date:</b> From now on<br>
<b>Type of employment:</b> Unlimited<br>
<b>Working hours:</b> Full-time</p><p>
When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).</p><p>
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruitment 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>176459</div>
<div>Publication Date:</div>
<div>28.04.2026</div></div>

Senior AI Platform 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)

Speechify

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
</p><p>Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.</p>
<p>
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.</p>
<p>
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.</p>
<p>
Our interview process involves several technical interviews and we aim to complete them within 1 week.</p>
<p><b>
What Yo</b><b>u'</b><b>ll Do</b></p>
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
<p><b>What We Offer
</b></p><ul><li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio &ndash; a rapidly evolving tech domain</li>
</ul>
<p><b>The Germany Based </b>Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, Platform - Munich, Germany

<div><p>The mission of Speechify is to make sure that reading is never a barrier to learning.</p>
<p>
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.</p>
<p>
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<p><b>
Overview</b></p>
<p>
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
</p><p>This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.</p>
<p>
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.</p>
<p>
Our interview process involves several technical interviews and we aim to complete them within 1 week.</p>
<p><b>
What Yo</b><b>u'</b><b>ll Do</b></p>
<ul>
<li>Opportunity to lead key engineering and product decisions</li>
<li>Actively shipping production code for the Speechify iOS app</li>
<li>Work within a dedicated product team</li>
<li>Participate in product discussions to shape the product roadmap</li>
<li>Maintain and enhance the existing complex app architecture</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>Experience. You've worked on products that scaled to a large user base</li>
<li>Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product</li>
<li>Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience</li>
<li>Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction</li>
<li>Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Technical skills. Swift, SwiftUI</li>
</ul>
<p><b>Technical Requirements:</b></p>
<ul>
<li>Swift Programming Language</li>
<li>SwiftUI experience</li>
<li>Experience in Multithreading Programming</li>
<li>Working with CI/CD infrastructure</li>
<li>Experience with Fastlane</li>
<li>SOLID principles, the ability to write every single class according to SOLID</li>
<li>Experience with Git and understanding of different Git strategies</li>
</ul>
<p><b>What We offer:</b></p>
<ul>
<li>A fast-growing environment where you can help shape the company and product</li>
<li>An entrepreneurial crew that supports risk, intuition, and hustle</li>
<li>The opportunity to make a big impact in a transformative industry</li>
<li>A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture</li>
<li>Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives</li>
<li>Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world</li>
<li>Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio</li>
</ul>
<p><b>The Germany Based </b>Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Software Engineer, iOS Core Product - Munich, Germany

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

AI Software Engineer (f/m/d)

CLERA

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
A fast-growing, pre-seed-funded energy tech startup based in Munich is looking for a <b>Founding Product Engineer</b> to join its early team. The company builds an enterprise-grade, AI-powered SaaS platform that helps industrial companies strategically manage their energy procurement &mdash; covering everything from consumption forecasting and flexible procurement to flexibility monetisation.</p><p>
As one of the first engineers on the team, you will have a decisive say in how the product is built, what the tech stack looks like, and how customers experience the platform. This is a high-ownership, high-impact role for a generalist engineer who thrives at the intersection of product, engineering, and customer collaboration.</p><p><b>
No visa sponsorship is available for this position.</b></p><h3 class="jobSectionHeader"><b>
What You'll Do</b></h3><ul><li><p>
Own the full product lifecycle &mdash; from design and scoping through to deployment and iteration.</p></li><li><p>
Translate product objectives into clear, actionable requirements in close collaboration with customers.</p></li><li><p>
Design simple, iterative solutions to complex energy procurement and optimisation problems.</p></li><li><p>
Develop performant backend services for a data-intensive application.</p></li><li><p>
Build intuitive, elegant user interfaces for a complex decision-support system.</p></li><li><p>
Train time-series forecasting models for power consumption and renewables production.</p></li><li><p>
Develop linear optimisation algorithms aimed at reducing customer energy costs.</p></li><li><p>
Help choose and evolve the core tech stack (currently centred on PostgreSQL, TypeScript, React, and Python).</p></li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><p><b>
Must-haves:</b></p><ul><li><p>
2+ years of software engineering experience delivering scalable web applications in an early-stage startup environment.</p></li><li><p>
Proven track record of delivering full product features independently, in direct collaboration with customers.</p></li><li><p>
Strong software engineering fundamentals &mdash; you build things that are robust, maintainable, and scalable.</p></li><li><p>
Hands-on experience building backend services for data-intensive applications.</p></li><li><p>
Experience building frontend UIs for complex decision-support or analytical tools.</p></li><li><p>
A product mindset: you think about user impact, not just code quality.</p></li><li><p>
Comfort with ambiguity and a genuine appetite for fast-paced, early-stage environments.</p></li></ul><p><b>
Strongly preferred:</b></p><ul><li><p>
Hands-on experience with time-series forecasting and/or linear optimisation.</p></li><li><p>
Familiarity with PostgreSQL, TypeScript, React, and/or Python.</p></li><li><p>
Previous experience as a founding engineer, CTO, or technical co-founder at a startup.</p></li></ul><p><b>
Nice to have:</b></p><ul><li><p>
Experience with FastAPI and/or Supabase.</p></li><li><p>
Interest in or knowledge of energy markets and energy-intensive industrial operations.</p></li><li><p>
Corporate engineering background is acceptable if paired with a demonstrated startup mindset and grit.</p></li></ul><h3 class="jobSectionHeader"><b>
Compensation &amp; Benefits</b></h3><ul><li><p><b>
Salary:</b> &euro;85,000 &ndash; &euro;140,000 per year, depending on experience.</p></li><li><p>
Meaningful early-stage equity participation (details shared during the process).</p></li><li><p>
Direct influence over product direction, tech stack, and team culture from day one.</p></li><li><p>
Work alongside an experienced founding team in a well-backed, mission-driven company.</p></li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><p>
This is a <b>hybrid</b> role based in <b>Munich, Bavaria, Germany</b>. You are expected to work on-site in Munich the majority of the week, with flexibility for occasional remote days. Fully remote candidates are not suitable for this position.</p></div>

Founding Product Engineer

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