About this job

Why The Mobility House?

• Help shape our vision of an emission-free energy and mobility future
• High level of responsibility and rapid development in a growing and innovative company
• Open, diverse & international team
• Flexible working hours and additional vacation days
• Mobile working from home and 20 days in other European countries
• Choice between the latest Apple and Dell IT equipment
• Subsidy for Deutschlandticket job
• Wellpass membership
• Lease of your preferred car and bike via FINN or JobRad
• Modern office with good public transport connections
• and much more!

What you do

• Drive overall architecture data hygiene, observability, and long-term business adoption and impact of all our AI systems.
• Partner cross-functionally to map operational workflows, identify pain points, and scope optimal AI vs. classic automation solutions.
• Rapidly prototype and deploy production-grade LLM agents, semantic apps and deterministic automations.
• Continuously turn individual use-case learnings into core platform capabilities (e.g. General Knowledge Layer, System Integrations, Cloud Agent Environment).
• Build reusable SDKs, APIs and playbooks to enable internal "AI Champions” to self-serve.
• Lead technical enablement sessions, workshops, and pair-programming with internal teams to elevate the organization’s engineering baseline from pre-AI to AI-fluent.
• Implement evals, token cost tracking, latency monitoring, and guardrails across production workflows.
• Write production-ready code. Balance speed versus quality. Serve as an architectural sounding board and rubber-duck.
• Ensure all solutions comply strictly with corporate IT security, data privacy, and compliance standards.

Who you are

• Relentless builder with a bias for action who loves implementing functional prototypes rapidly and refines them into reliable, production-grade systems.
• Strong backend coding skills (e.g., Python), REST APIs, microservices, databases, and modern cloud infrastructure (AWS).
• Deeply fascinated by the AI landscape, thriving on weekly self-driven experimentation with new models, agentic frameworks and emerging tools and approaches.
• Instinctively zooms out from single use cases to recognize recurring patterns and translate them into modular platform tools and scalable architecture
• Quickly grasp complex, unfamiliar operational and business focussed workflows, asking the right questions to spot where AI actually adds real business value.
• Passionate about demystifying AI and sharing knowledge through e.g. pair-programming, workshops, and daily exchange with technical and non-technical colleagues.

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