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Team Lead AI Engineering (f/m/d)

Vestigas

München (Hybrid) 9/13/2026 Experienced
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<br><strong>We're digitizing the construction industry – are you in?</strong><p>At VESTIGAS, you build the digital backbone of the construction supply chain. We turn purchase orders, delivery notes, and invoices into a digital, legally compliant platform used in everyday operations by construction companies and suppliers. You’ll work on a product with real market traction in the DACH mid-market, ship iteratively, and take ownership of solutions that must work in the field—not just in theory.</p><br><strong>Your Role</strong><p>As Team Lead – AI Engineering, you'll own the AI infrastructure and capabilities that power our supply chain platform end to end – from pipeline design to production deployment. You bring prior leadership experience and are ready to lead a team of AI engineers: setting technical direction, growing your team's capabilities, and making sure the team consistently delivers reliable, scalable AI systems.<br><br><span style="font-size:18px;">The Technical Challenge</span>Your team will tackle problems like extracting structured data reliably from many different documents, building uncertainty estimation so the system knows when to flag a document for human review instead of silently guessing, and automatically reconciling purchase orders, delivery notes, and invoices against each other – all within legal and compliance requirements that leave no room for "close enough." This is a domain where clean benchmark metrics mean far less than robustness against real documents nobody has seen before – and you'll set the technical direction for how the team navigates that trade-off, deciding where to push automation further and where human review still matters.</p><br><strong>Your Mission</strong><p><ul><li>Lead and long-term grow a team of AI engineers, providing both strategical technical direction and people leadership</li><li>Own MLOps processes and infrastructure, ensuring our AI systems are reliable, scalable, and secure</li><li>Drive the design and implementation of advanced AI features, partnering closely with engineering and product leadership to deploy machine learning models and data pipelines</li><li>Set the bar for accuracy, efficiency, and uncertainty estimation of our AI features through rigorous testing practices</li><li>Ensure the scalability, maintainability, and core functionality of our AI solutions – and drive the build of new ones from scratch</li><li>Translate customer needs into technical priorities and represent AI engineering in strategic product and sales discussions</li><li>Establish and evolve engineering standards, tooling, and quality practices across the team</li><li>Coach and develop your team members, supporting their technical and professional growth</li><li>Champion the use of modern AI tools such as Claude or Cursor across the team</li></ul></p><br><strong>Your Profile</strong><p><ul><li>Bachelor's or Master's degree in Engineering, Computer Science, or a related field; alternatively, an equivalent education</li><li>5+ years of experience in AI engineering and at least 1+ years in a leading position, including end-to-end lifecycle management and MLOps</li><li>Proven experience leading or managing a technical team, with strong people-leadership skills</li><li>Hands-on expertise in natural language processing and image processing</li><li>Strong Python skills and experience with Azure; Terraform experience is a plus</li><li>A passion for generative AI, OCR, and building customer-focused solutions</li><li>A habit of writing clean, well-tested code with an eye on what happens after deployment</li><li>Solid understanding of AI agents, tools, and their limitations</li><li>Fluent English and German (C1 or above)</li><li>Willingness to work from our Munich office at least two days a week</li></ul></p><br><strong>Your Benefits</strong><p><ul><li>Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market.</li><li>Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions.</li><li>AI-First workflow. Copilot, Claude, Cursor &amp; co. are standard tools for us. We expect and support their use.</li><li>Hybrid work with an office in the heart of Munich, just around the corner from Theresienwiese. Flexible setup with regular office presence – because we believe the best ideas happen in person.</li><li>EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites.</li><li>Fair, competitive compensation.</li></ul></p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>

MLOpsMachine LearningEnd-to-end ML lifecycleNatural Language Processing (NLP)Image Processing / Computer VisionPythonAzureTerraformGenerative AIOCRAI AgentsData PipelinesProduction DeploymentUncertainty EstimationTestinclean codeClaudecursorchatgptAI toolsLeadershipManagementPeople Managementmanaging engineerstechnical strategy

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