Forward Deployment Engineer

• Embed with customer engineering and operations teams. Understand their workflows, inspect real data, and define a focused use case with measurable acceptance criteria.
• Own delivery from discovery and technical scoping through system design, prototyping, implementation and production rollout.
• Build Python services, AI agents and retrieval workflows. Connect engineering drawings, documents and enterprise systems through APIs, including CAD, PLM, ERP or MES where relevant.
• Make deployments dependable: build evaluations and tests, implement access controls and observability, and work with customer IT on deployment requirements.
• Lead technical workshops, troubleshoot in the customer environment, support adoption and measure results. Turn recurring deployment patterns into reusable platform capabilities with Product and Engineering.

Profile

• A track record of shipping software or AI applications into production, with ownership beyond the prototype stage.
• Strong Python skills and practical experience with APIs, databases, debugging and automated testing. Ability to build across the stack when a customer workflow requires it.
• Hands-on experience with LLM applications, AI agents or retrieval-augmented generation, including evaluation and failure analysis.
• Experience deploying and operating applications on Azure, AWS or a comparable environment, with attention to security and reliability.
• Confidence working directly with customers: clarify ambiguous requirements, explain technical tradeoffs and take responsibility for delivery.
• German sufficient to lead customer workshops and English for technical collaboration. Ability to work on-site in Munich and at customer locations as projects require.

We offer

• Competitive Compensation: A competitive salary package reflecting your experience, skills, and contributions.
• High-Impact Work: The opportunity to build and deploy AI solutions that solve real-world challenges for leading industrial and manufacturing companies.
• End-to-End Ownership: Take responsibility for projects from initial customer discovery through development, deployment, and measurable business impact.
• International Exposure: Collaborate with customers and colleagues across Europe, North America, and Asia.
• Professional Growth: Develop your expertise at the intersection of artificial intelligence, software engineering, and industrial operations, with opportunities for increasing responsibility.
• Collaborative Environment: Work closely with an international team of AI engineers, product specialists, and manufacturing experts.
• Flexible Working Arrangements: On-site or hybrid working arrangements based on project requirements and customer needs.
• Opportunity to Shape the Product: Contribute directly to the evolution of our AI platform by translating real customer challenges into scalable product capabilities.

Additional contact details

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Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung