- Company: Get A Job.ai
- Location: München (Hybrid)
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential construction technology client in Munich who is building production AI systems for supply chain digitization. This is a senior individual contributor role with a clear growth path toward technical leadership. You'll own AI infrastructure and model deployment end-to-end, working on document understanding, data extraction, and reconciliation problems where accuracy and reliability directly impact daily operations.
Responsibilities
- Lead MLOps processes and maintain infrastructure to keep AI systems reliable, scalable, and secure in production
- Design and implement advanced AI features, working closely with engineering and product teams to deploy machine learning models and data pipelines
- Improve accuracy, efficiency, and uncertainty estimation of existing AI features through rigorous testing and iteration
- Contribute to scalability, maintainability, and core functionality of AI solutions while building new capabilities from scratch
- Align technical work with customer needs and support product and sales discussions
- Help establish engineering standards, tooling, and quality practices across the team
- Mentor and technically guide colleagues as you build the track record to grow into a leadership role
- Leverage modern AI tools such as Claude or Cursor as part of daily workflows
What We're Looking For
- Bachelor's or Master's degree in Engineering, Computer Science, or a related field (or equivalent practical experience)
- 5+ years of hands-on experience in AI engineering, including end-to-end lifecycle management and MLOps
- Strong expertise in natural language processing and image processing
- Advanced Python skills and experience with Azure; Terraform experience is a plus
- Passion for generative AI, OCR, and building customer-focused solutions that work in the field
- Track record of writing clean, well-tested code with attention to post-deployment performance
- Solid understanding of AI agents, tools, and their practical limitations
- Ideally, some experience mentoring or technically guiding others with ambition to grow into a Team Lead role
- Fluent English and German (C1 or above)
- Willingness to work from the Munich office at least two days per week (hybrid arrangement)
How We Work With You
Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to understand your background and match you with the right opportunity. Once we confirm mutual interest, we submit your profile to our client and coordinate the interview process. Please do not contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional experience.
Pay
Compensation details will be discussed during the screening process based on experience level and technical background.
Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates regardless of background, identity, or circumstance.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior AI Engineer (f/m/d)
- Employer Get A Job.ai
- Location München (Hybrid)
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 13, 2026
- Apply by October 13, 2026
- Country Germany
- Overview Full job description on this page (425 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in AI engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze problems to develop solutions involving computer hardware and software.
- Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- Assign or schedule tasks to meet work priorities and goals.
- Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- Design computers and the software that runs them.
- Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
Limited public data for this employer
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Occupation family: AI engineer
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