AI Solutions Engineer (m/w/d)

The Mobility House GmbH; München; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible hours

20 days vacation (EU)

Remote work from home

Apple/Dell equipment

Deutschlandticket subsidy

Wellpass membership

Car/bike lease via FINN/JobRad

Modern office

Zusammenfassung

The Mobility House GmbH in Munich is seeking an experienced AI/ML engineer to shape the architecture and adoption of our AI systems. You will prototype and deploy LLM agents, build scalable platforms, and work with cross-functional teams to map workflows.

You will balance speed and quality, ensure security and privacy compliance, and help elevate the organization’s engineering baseline from pre-AI to AI-fluent through hands-on sessions.

Qualifikationen

• Strong backend coding skills with Python and REST APIs.
• Experience with microservices and modern cloud infrastructure (AWS).
• Interest in AI landscape and experimentation with new models.
• Ability to translate complex workflows into modular platform tools.

Aufgaben

• Drive data hygiene, observability, and adoption of AI systems.
• Map workflows with cross-functional partners and scope automation.
• Prototype and deploy LLM agents, semantic apps, and deterministic automations.
• Turn learnings into core platform capabilities (Knowledge Layer, System Integrations).
• Build reusable SDKs, APIs and playbooks for self-serve AI.
• Lead enablement sessions and pair-programming to raise engineering baseline.
• Implement evals, cost tracking, latency monitoring, and guardrails.
• Write production-ready code and balance speed with quality.
• Ensure compliance with IT security and data privacy standards.

Kenntnisse

Python

REST APIs

Microservices

AWS

LLMs

AI systems

Databases

Jobbeschreibung

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.