ai developer

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)

Airbus

<div><p><b>Job Description:
</b></p><p>In order to support us, Airbus Defence and Space is looking for an<br>
</p><h1 class="jobSectionHeader"><br>
<b>AI Solutions Engineer (d/f/m)
</b></h1><p></p><p>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs.<br>
</p><p><br>
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
</p><p></p><p><b>Your location
</b><br>
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
</p><p></p><p>The other possible locations for this role are:
</p><p><b>Madrid / Getafe
</b><br>
<b>Toulouse
</b></p><p></p><p>Our Benefits for You
</p><ul><li><p>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</p></li><li><p>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</p></li><li><p>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</p></li><li><p>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</p></li><li><p>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.<br>
</p></li></ul><p><br>
<b>Your tasks and responsibilities
</b></p><ul><li><p><b>Problem Discovery &amp; Feasibility: </b>Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</p></li><li><p><b>Tactical Implementation: </b>Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</p></li><li><p><b>Implementation of Agentic Systems: </b>Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</p></li><li><p><b>Platform Evolution: </b>Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</p></li><li><p><b>Sovereignty &amp; Compliance: </b>Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</p></li><li><p><b>AI solutions delivery: </b>Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</p></li></ul><p></p><p><b>Desired skills and qualifications
</b></p><ul><li><p>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</p></li><li><p>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</p></li><li><p>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</p></li><li><p>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</p></li><li><p>Experience with scripting languages (e.g. <b>Python </b>, JavaScript, etc.) for automation and ML/DevOps libraries.
</p></li><li><p><b>At least 5+ years </b>continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</p></li><li><p>Previous experience as a liaison between tech development and business teams
</p></li><li><p>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</p></li><li><p>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</p></li><li><p>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</p></li><li><p>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</p></li><li><p>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</p></li><li><p>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</p></li><li><p>Fluent English, German and English is a plus<br>
</p></li></ul><p><br>
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
</p><p></p><p>Take your career to a new level and apply online now!<br>
</p><p><br>
#MYCYM
</p><p></p><p>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
</p><p></p><p><b>Company:
</b></p>Airbus Defence and Space GmbH
<p></p><p><b>Employment Type:
</b></p>Permanent
<p>-
</p><p></p><p><b>Experience Level:
</b></p>Professional
<p></p><p><b>Job Family:
</b></p>Digital &lt;JF-IM-DI&gt;
<p></p><p>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
<br>
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
</p><p>Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
</p><p></p><p>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</p></div>

AI Solutions Engineer (d/f/m)

BMW Group

<div>
 <strong>
  Innovation Is Imagining What No One Else Can.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 <br/>
 <br/>
 <strong>
  What awaits you?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
  </li>
  <li>
   Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
  </li>
  <li>
   You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
  </li>
  <li>
   In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
  </li>
  <li>
   You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
  </li>
  <li>
   You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What should you bring along?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
  </li>
  <li>
   In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
  </li>
  <li>
   Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
  </li>
  <li>
   Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
  </li>
  <li>
   Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
  </li>
  <li>
   Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
  </li>
  <li>
   Proven technical leadership experience in agile, cross-functional teams.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 <br/>
 <br/>
 Find out more about Artificial Intelligence at the BMW Group here.
 <br/>
 <br/>
 <strong>
  Note
 </strong>
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 <br/>
 <br/>
 <strong>
  What do we offer?
  <br/>
  <br/>
 </strong>
 <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 bmw.jobs/benefits
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Earliest starting date:
 </strong>
 from now on
 <br/>
 <br/>
 <strong>
  Type of employment:
 </strong>
 unlimited
 <br/>
 <br/>
 <strong>
  Working hours
 </strong>
 : full-time
 <br/>
 <br/>
 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).
 <br/>
 <br/>
 You can find helpful tips on your application and the application process here.
 <br/>
 <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. Learn more here.
 <br/>
 <br/>
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>


Senior AI Engineer for the Infotainment Platform (f/m/x)

H&Z Unternehmensberatung AG

<div><div>M&uuml;nchen</div><div>
Vollzeit</div><div>
Festanstellung</div></div>
<br><div><div><div><h2 class="jobSectionHeader"><b>Position</b></h2><div><div>
Du m&ouml;chtest KI-L&ouml;sungen nicht nur entwickeln, sondern deren strategische Ausrichtung, technische Exzellenz und nachhaltigen Erfolg beim Kunden verantworten?<br>
Du denkst AI-Produkte ganzheitlich, von der Gesch&auml;ftsanforderung &uuml;ber Architektur und Delivery bis hin zu Betrieb, Skalierung und kontinuierlicher Optimierung?<br>
Du m&ouml;chtest technische Teams f&uuml;hren, Standards etablieren und innovative AI-L&ouml;sungen f&uuml;r nationale und internationale Kunden gestalten?</div><br>
Dann haben wir die richtige Stelle f&uuml;r dich:<br>
<h1 class="jobSectionHeader"><b>
Team Lead AI Engineering (w/m/d)</b><br>
</h1></div></div><div><h2 class="jobSectionHeader"><b>
Was gibt es zu tun?</b></h2><div><ul><li>
Du f&uuml;hrst ein interdisziplin&auml;res AI-Engineering-Team fachlich und technisch und entwickelst dessen Kompetenzen kontinuierlich weiter</li><li>
Au&szlig;erdem &uuml;bernimmst du die End-to-End-Verantwortung f&uuml;r komplexe AI-L&ouml;sungen, von Discovery, Solution Design und Architektur bis zum produktiven Betrieb und der kontinuierlichen Weiterentwicklung</li><li>
Teil deiner Aufgabe ist es, gesch&auml;ftliche Anforderungen in skalierbare, sichere und robuste AI-Systemarchitekturen zu &uuml;bersetzen und gemeinsam mit Kunden und internen Stakeholdern technische Roadmaps zu definieren</li><li>
Teil deiner Verantwortung sind Architekturentscheidungen rund um LLM-basierte Systeme, agentische Workflows, RAG-Architekturen, Tool Integration, Orchestrierung und Evaluierungsframeworks</li><li>
Du etablierst Best Practices, Standards und wiederverwendbare Patterns f&uuml;r AI- und LLM-L&ouml;sungen, von Prompt Engineering &uuml;ber Context Engineering bis hin zu Governance und Quality Assurance</li><li>
In deiner Rolle treibst du den Aufbau und die Weiterentwicklung von LLMOps- und MLOps-Strukturen voran, inklusive CI/CD, automatisierter Evaluierung, Monitoring, Versionierung und kontinuierlicher Optimierung</li><li>
Du steuerst technische Discovery-Phasen, f&uuml;hrst Machbarkeitsanalysen durch und bewertest technologische Risiken, Kosten und Skalierungsoptionen</li><li>
Ein wichtiger Teil deiner T&auml;tigkeit ist es sicherzustellen, dass AI-L&ouml;sungen h&ouml;chsten Anforderungen an Performance, Security, Compliance, Datenschutz und Responsible AI gerecht werden</li><li>
Du integrierst AI-Komponenten in komplexe Enterprise-Systemlandschaften und entwickelst nachhaltige Integrationsstrategien &uuml;ber APIs, Microservices und eventgetriebene Architekturen</li><li>
Als Team Lead AI Engineering agierst du als technischer Trusted Advisor f&uuml;r Kunden, moderierst Architektur-Workshops und unterst&uuml;tzt bei strategischen Technologieentscheidungen</li><li>
Du coachst und mentorierst Engineers, f&ouml;rderst technische Exzellenz im Team und etablierst eine starke Engineering-Kultur</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Was bringst du mit?</b></h2><div><ul><li>
Ein abgeschlossenes Studium der Informatik, Informationstechnologie oder eine vergleichbare Qualifikation mit fundierter praktischer Erfahrung</li><li>
Mehrj&auml;hrige Erfahrung im Software Engineering mit Schwerpunkt auf Backend-, Distributed Systems- oder Cloud-native Architectures</li><li>
Umfangreiche Erfahrung in der Konzeption und produktiven Umsetzung komplexer AI- und Generative-AI-L&ouml;sungen auf Enterprise-Niveau</li><li>
Tiefgehendes Verst&auml;ndnis moderner LLM-Architekturen und AI-Applikationsmuster wie RAG, Multi-Agent Systems, Embeddings, Vector Databases, Tool Calling, Guardrails und Evaluation Pipelines</li><li>
Fundierte Erfahrung mit relevanten Frameworks und Stacks wie LangChain, LlamaIndex, Semantic Kernel oder vergleichbaren Technologien</li><li>
Erfahrung im Aufbau produktionsreifer AI-Plattformen inklusive Monitoring, Observability, Cost Optimization und Governance</li><li>
Sehr gute Kenntnisse in mindestens einer modernen Programmiersprache, zum Beispiel Python, TypeScript, C# oder Java, sowie ein starkes Architekturverst&auml;ndnis</li><li>
Erfahrung mit Cloud-Plattformen wie Microsoft Azure, Amazon Web Services AWS oder Google GCP; idealerweise mit Fokus auf AI-native Services</li><li>
Sehr gutes Verst&auml;ndnis von DevOps-Prinzipien, Infrastructure as Code, CI/CD, Containerisierung und Security-by-Design</li><li>
Erfahrung in technischer F&uuml;hrung, Teamsteuerung, Mentoring oder Architekturverantwortung</li><li>
Hohe Beratungs- und Kommunikationsst&auml;rke sowie die F&auml;higkeit, komplexe technische Zusammenh&auml;nge adressatengerecht zu vermitteln</li><li>
Verhandlungssichere Englischkenntnisse; Deutschkenntnisse sind von Vorteil</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Was bieten wir dir?</b></h2><div><ul><li>
Strategisch relevante Projekte mit hoher technologischer Komplexit&auml;t und direktem Business Impact</li><li>
Viel Gestaltungsspielraum und echte Verantwortung</li><li>
Fachliche und pers&ouml;nliche Weiterentwicklung auf Senior- und Leadership-Level</li><li>
Mentoren-Programm</li><li>
Famili&auml;res und freundschaftliches Arbeitsklima</li><li>
Mitarbeiterevents und Firmenretreats</li><li>
Mobilit&auml;tsangebote</li><li>
Tolles zentrales Office in M&uuml;nchen</li><li>
Getr&auml;nke, Obst &amp; Joghurts im Office</li><li>
Firmenlaptop &amp; Firmenhandy</li><li>
Sportangebote</li></ul></div></div></div>
<p></p><div><h2 class="jobSectionHeader"><b>&Uuml;ber uns</b></h2><div><b>
&Uuml;ber H&amp;Z</b><br>
H&amp;Z ist eine f&uuml;hrende europ&auml;ische Managementberatung mit klarem Fokus auf messbare Wirkung. Als Partner unterst&uuml;tzt H&amp;Z mittelst&auml;ndische Unternehmen und Konzerne dabei, ihre Wettbewerbsf&auml;higkeit nachhaltig zu st&auml;rken und verbindet dabei Klarheit, Verantwortung und pragmatische Umsetzung.<br>
Mit Expertise in Procurement, Performance, digitaler Transformation und Restrukturierung &uuml;bersetzt H&amp;Z strategische Ziele in konkrete Ergebnisse entlang der gesamten Wertsch&ouml;pfungskette. Von der Strategie bis zur Umsetzung stellt H&amp;Z sicher, dass Wirkung nicht nur entsteht, sondern langfristig verankert wird.<br>
<b>From Ambition to Impact.</b><br>
So entsteht aus Ambition messbare Wirkung und aus Wirkung nachhaltige Wettbewerbsst&auml;rke.</div></div></div>

Team Lead AI Engineering (w/m/d)

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>


OMMAX GmbH

<div><div><div>Wen wir suchen:
<div><ul><li>Du konzipierst, implementierst und optimierst AI-native Revenue-Operations-L&ouml;sungen auf Basis von HubSpot Sales Hub, Revenue Hub und Data Hub.</li><li>
Du entwickelst skalierbare Lead-to-Cash- und Quote-to-Cash-Prozesse, die CRM, Customer Intelligence, Automatisierung und AI-gest&uuml;tzte Entscheidungsfindung miteinander verbinden.</li><li>
Du konfigurierst und entwickelst komplexe HubSpot-Umgebungen, einschlie&szlig;lich Workflows, Custom Objects, Reporting-Frameworks, CPQ-Prozessen und Revenue-Management-Funktionen.</li><li>
Du entwickelst Customer-Intelligence-Architekturen als vertrauensw&uuml;rdige Grundlage f&uuml;r Revenue Operations, Forecasting und AI-gest&uuml;tzte Automatisierung.</li><li>
Du nutzt Claude, OpenAI, Cursor und weitere LLM-Technologien, um intelligente Workflows, Copilots und autonome Revenue-Prozesse zu entwickeln.</li><li>
Du konzipierst und implementierst Agentic-AI-L&ouml;sungen sowie HubSpot Agents f&uuml;r Prospecting, Opportunity Management, Account Intelligence, Forecasting und Revenue-Optimierung.</li><li>
Du entwickelst autonome Workflows, die CRM-Daten, Business-Logik und AI-gest&uuml;tzte Entscheidungsmodelle kombinieren, um die kommerzielle Performance nachhaltig zu steigern.</li><li>
Du arbeitest eng mit Kunden sowie internen Teams zusammen und &uuml;bersetzt gesch&auml;ftliche Anforderungen in skalierbare Technologiel&ouml;sungen.</li><li>
Du bringst dich aktiv in Architekturentscheidungen, technische Best Practices sowie die Weiterentwicklung des AI-native Revenue Operations Angebots von OMMAX ein.</li><li>
Du unterst&uuml;tzt den Wissensaustausch und tr&auml;gst zur Etablierung von Best Practices in den Bereichen Revenue Operations, HubSpot und AI-Implementierungen bei.</li></ul></div>
<div></div>Was Du mitbringst:
<div><ul><li>Du hast einen Hochschulabschluss in Wirtschaftsinformatik, Informatik, Informationssystemen, Ingenieurwesen, Data Science, Betriebswirtschaft oder einem verwandten Fachgebiet.</li><li>
Du bringst 3&ndash;8 Jahre relevante Berufserfahrung in den Bereichen Revenue Operations, CRM Consulting, Sales Operations, Revenue Systems, GTM Systems Engineering oder vergleichbaren Fachgebieten mit.</li><li>
Du verf&uuml;gst &uuml;ber fundierte praktische Erfahrung in der Implementierung von HubSpot in komplexen B2B-Umgebungen.</li><li>
Du besitzt tiefgehende Kenntnisse des HubSpot Sales Hub sowie fundierte Erfahrung mit Revenue Hub und Data Hub.</li><li>
Du verf&uuml;gst &uuml;ber ein fundiertes Verst&auml;ndnis von Lead-to-Cash- und Quote-to-Cash-Prozessen, einschlie&szlig;lich Pipeline Management, Forecasting, Revenue Governance und der Optimierung kommerzieller Prozesse.</li><li>
Du bringst praktische Erfahrung mit modernen AI-native-Engineering-Ans&auml;tzen mit, beispielsweise Claude (Anthropic), Cursor, dem Model Context Protocol (MCP) oder vergleichbaren Frameworks.</li><li>
Du verf&uuml;gst &uuml;ber fundierte Kenntnisse in den Bereichen Generative AI, LLM-Architekturen, Retrieval-Augmented Generation (RAG), Tool Calling, Agentic AI sowie AI-gest&uuml;tzter Workflow-Entwicklung.</li><li>
Du hast Erfahrung in der Entwicklung von AI-Assistenten, Agents, Copilots oder autonomen Workflows f&uuml;r Business-Anwendungen.</li><li>
Du bist mit den AI-Funktionalit&auml;ten von HubSpot sowie HubSpot Agents vertraut.</li><li>
Du hast Erfahrung in der Integration von CRM-, ERP-, Customer-Data- und AI-Plattformen &uuml;ber APIs.</li><li>
Du verf&uuml;gst &uuml;ber Kenntnisse in Workflow-Orchestrierungs- und Automatisierungsplattformen, insbesondere Make (by Celonis).</li><li>
Du arbeitest souver&auml;n mit Kunden und Stakeholdern zusammen und kannst gesch&auml;ftliche Anforderungen in skalierbare Systemarchitekturen &uuml;bersetzen.</li><li>
Du sprichst flie&szlig;end Deutsch und Englisch; zus&auml;tzliche standortabh&auml;ngige Sprachkenntnisse sind von Vorteil.</li></ul></div>
<div></div>Was Dich erwartet:
<div><ul><li><b>Dein Impact ist entscheidend: </b>Du gestaltest in einem hochmotivierten &amp; smarten Team in unmittelbarer Zusammenarbeit mit den Gr&uuml;ndern &amp; Partnern aktiv die digitale Zukunft und sorgst durch die erfolgreiche Verkn&uuml;pfung von Strategie und Implementierung f&uuml;r echten Mehrwert.</li><li><b>
Dein Einsatz zahlt sich aus!</b> Du profitierst von attraktiven Gehaltspaketen, Beteiligungen am Vertriebserfolg und exklusiven Investmentm&ouml;glichkeiten. Zus&auml;tzlich f&ouml;rdern wir unsere Top-Talente durch das 'Digital Leaders of Tomorrow' Programm und bieten dir somit weitere spannende Vorteile.</li><li><b>
Dein Learning &ndash; unser Anliegen:</b> Du wirst ab Tag eins durch vielf&auml;ltige Entwicklungsangebote auf deiner Journey unterst&uuml;tzt, &uuml;bernimmst schnell Verantwortung und hast die M&ouml;glichkeit mit uns deine individuelle Karriere zu gestalten &ndash; mit uns wirst du zum Digital Leader!</li><li><b>
Dein Arbeitsumfeld: </b>Du tauchst ein in ein diverses und familienfreundliches Umfeld, mit ausgepr&auml;gtem Teamspirit und profitierst von einem flexiblen und hybriden Arbeitsmodell in einem unserer B&uuml;ros in M&uuml;nchen, London, Amsterdam, Mailand und Berlin.</li><li><b>
Dein Blick in die Zukunft: </b>Du arbeitest am Puls der Zeit und sammelst wertvolle Einblicke und praktische Erfahrungen mit Fokus auf digitale Gesch&auml;ftsmodelle und datengetriebene Wertsch&ouml;pfung in acht zukunftsweisenden Branchen.</li><li><b>
Deine Benefits on top:</b> Freue dich auf regelm&auml;&szlig;ige Teamevents und gemeinsame Sportsessions, profitiere von einer attraktiven betrieblichen Altersvorsorge, einer exklusiven Fitness- und Wellness-Mitgliedschaft, sowie Mobilit&auml;ts- und Essenszusch&uuml;sse und vielseitigen weiteren Company Benefits.</li></ul></div></div></div></div><p></p>

AI Revenue Engineer - HubSpot, Agents & LLMs (m/w/d)

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AI Revenue Engineer - HubSpot, Agents & LLMs (m/w/d)