Senior AI Engineer (f/m/d)

What we are looking for

If you match most of these requirements and not all of them, you should still apply.

• At least 5 years of professional experience as an AI, ML, MLOps or backend engineer (working-student time does not count)
• Hands-on experience shipping LLM-based or agentic systems to production, not only prototypes
• Degree in computer science, AI or a closely related field, or equivalent practical background
• Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred)
• Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems
• Fluent English (C1); based in the EU, able to work hybrid from Berlin
• PyTorch and NLP model training, Kubernetes, Terraform, Argo
• Experience with procurement, supply chain or B2B data products

Your benefits

• Work on an AI-core product, develop cutting-edge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact
• High ownership and responsibility to manage your own projects
• See your work deliver immediate results for stakeholders and collaborate closely with our Product team
• Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
• Rapid development with a steep learning curve
• Awesome team events and an inclusive company culture with a diverse team
• A hybrid work environment and a nice office in Berlin, Prenzlauer Berg
• Honest, fast, and open collaboration as well as strong communication skills
• We hire you because you are the subject-matter expert in your fields, we appreciate being challenged
• Ability and willingness to commit to goals and tangible impact
• Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis
• Proactive hands-on working style with passion for customer-facing tasks
• Team members who are excited about our mission & tech

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation