Senior AI Engineer (f/m/d)

VESTIGAS GmbH; München; Hybrid; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work

Munich office

Wellpass/BahnCard

Flat hierarchies

Direct line to founders

Team events

Annual offsites

Job summary

VESTIGAS is seeking an experienced AI Engineer to lead MLOps and maintain scalable AI infrastructure in the Munich area. You will design and deploy ML models and data pipelines, focusing on robust uncertainty estimation, OCR, and document reconciliation across POs, delivery notes, and invoices.

You will collaborate with engineering and product teams, improve model accuracy, and help build new AI capabilities while growing into leadership responsibilities.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
• 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.

Responsibilities

• 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.

Skills

MLOps

Python

NLP

Image processing

Generative AI

OCR

Mentoring

Team Lead

German language

English language

Education

Bachelor's or Master's in Engineering/CS

Tools

Claude

Cursor

Copilot

Azure

Terraform

Job description

We're digitizing the construction industry – are you in?

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.

Your Role

You’ll help build the AI infrastructure and capabilities that power our supply chain platform, working across the full lifecycle – from pipeline design to production deployment. With 5+ years of experience under your belt, you’re ready for the next step in your career. Maybe you’ve already mentored or technically guided colleagues, and you're looking to grow steadily into a Team Lead role as you take on more ownership and, over time, people responsibility.

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.

About Us

VESTIGAS is the AI-powered supply chain for the construction industry. We turn piles of paper—purchase orders, delivery notes, and invoices—into a digital, legally compliant platform. That saves time, costs, and CO₂ in one of Europe’s largest industries.

We’re a B2B SaaS scale-up with strong market traction:

• 14 of the Top 20 construction companies in Germany work with VESTIGAS
• 17 of the Top 20 suppliers are already on board
• More than 1,000 companies—from STRABAG to mid‑sized suppliers—use our platform every day

Our team has grown significantly over the past two years and now consists of around 60 people with a strong can‑do mindset, high ownership, and a bias for execution. From our office in the heart of Munich, we build solutions that don’t just improve things step by step—they enable real leaps forward.

Our mission: to reshape the construction industry with AI—making it more digital, efficient, and sustainable.

VESTIGAS works as a fairly inclusive workplace. 

Diversity makes us better.

We evaluate applications based on skills, perspective, and potential—regardless of personal characteristics.