AI Solutions Engineer (m/w/d)

Tmh·Münchensenior

In short

→Ingeniero de soluciones de IA que arquitecta y despliega agentes LLM y automatizaciones en producción.
→Trabaja con equipos cruzados para identificar oportunidades de IA y crear herramientas reutilizables como SDKs y APIs.
→Destaca por convertir prototipos rápidos en sistemas robustos y por capacitar a otros equipos en IA.

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What they ask for

✓Experiencia sólida en programación backend (Python, REST APIs, microservicios, bases de datos)
✓Conocimiento en arquitectura cloud moderna (AWS)
✓Capacidad para prototipar y desplegar soluciones de IA en producción
✓Habilidades en observabilidad, monitoreo de rendimiento y costes de tokens
✓Capacidad de analizar flujos operativos complejos y encontrar valor real con IA
✓Compromiso con seguridad, privacidad de datos y cumplimiento normativo

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonREST APIsMicroservicesAWSLLM agentsSemantic appsDeterministic automationsSDKsAPIsPlaybooks

Who should you write to at Tmh?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. 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. , 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. g. pair-programming, workshops, and daily exchange with technical and non-technical colleagues. Are you a good fit for us? Diversity enriches our team and makes us stronger. Regardless of origin, gender, age, sexual orientation, religion, or any disability – everyone is welcome here! We look forward to receiving your application and achieving great things together.

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