Senior AI Engineer (f/m/d)
We're digitizing the construction industry – are you in?
Your Role
The Technical Challenge
You'll work on 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 you've never seen before, and where every accuracy gain has a direct, visible impact on our customers' daily operations.Your Mission
- Lead MLOps processes and maintain infrastructure to keep our AI systems reliable, scalable, and secure
- Design and implement advanced AI features, working closely with engineering and product teams to deploy machine learning models and data pipelines
- Improve the accuracy, efficiency, and uncertainty estimation of existing AI features through rigorous testing
- Contribute to the scalability, maintainability, and core functionality of our AI solutions – and help build new ones from scratch
- Align your technical work with customer needs and support product and sales discussions
- Help establish engineering standards, tooling, and quality practices
- Mentor and technically guide colleagues as you build the track record to grow into a leadership role
- Use modern AI tools such as Claude or Cursor as part of your daily workflow
Your Profile
- Bachelor's or Master's degree in Engineering, Computer Science, or a related field; alternatively, an equivalent education
- 5+ years of experience in AI engineering, including end-to-end lifecycle management and MLOps
- Hands-on expertise in natural language processing and image processing
- Strong Python skills and experience with Azure; Terraform experience is a plus
- A passion for generative AI, OCR, and building customer-focused solutions
- A habit of writing clean, well-tested code with an eye on what happens after deployment
- Solid understanding of AI agents, tools, and their limitations
- Ideally, some experience mentoring or technically guiding others – and the ambition to grow into a Team Lead role
- Fluent English and German (C1 or above)
- Willingness to work from our Munich office at least two days a week
Your Benefits
- Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market.
- Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions.
- AI-First workflow. Copilot, Claude, Cursor & co. are standard tools for us. We expect and support their use.
- 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.
- EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites.
- Fair, competitive compensation.
Über uns
VESTIGAS ist die KI-Lieferkette für die Bauindustrie. Wir machen aus Papierbergen – Bestellungen, Lieferscheinen und Rechnungen – eine digitale, rechtssichere Plattform. Das spart Zeit, Kosten und CO₂ in einer der größten Industrien Europas.
Wir sind ein B2B-SaaS-Scale-up mit echter Marktdurchdringung:
• 14 der Top-20 Baufirmen in Deutschland arbeiten mit VESTIGAS
• 17 der Top-20 Lieferanten sind bereits an Bord
• Über 1.000 Unternehmen – von STRABAG bis zum mittelständischen Lieferanten – nutzen unsere Plattform im Alltag
Unser Team ist in den letzten zwei Jahren stark gewachsen und besteht heute aus rund 60 Menschen mit „Can-Do“-Mentalität, hohem Ownership und Umsetzungsdrang. Aus unserem Office im Herzen Münchens bauen wir Lösungen, die nicht nur schrittweise verbessern, sondern echte Sprünge ermöglichen.
Unsere Mission: Die Bauindustrie mit KI neu gestalten: digitaler, effizienter und nachhaltiger.
Vielfalt macht uns besser.
Wir bewerten Bewerbungen nach Skills, Perspektive und Potenzial – unabhängig von persönlichen Merkmalen. Und: Wenn du nicht jedes „Must-have“ zu 100 % erfüllst, dich aber in der Rolle wiederfindest, bewirb dich trotzdem. Wir freuen uns auf dich.
