About the role
Your missionMost AI lives in a chat window. Ours will run physical infrastructure across a pan-European network. As a Senior AI/ML Engineer in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will be at the forefront of designing, building, and scaling AI systems that deliver real business impact. Working across the entire AI lifecycle, you will take solutions from experimentation to production and own them there, while helping define the technical foundation of our AI UNIT. You report to our Head of AI Strategy.
Your Responsibilities
Shape the AI/ML architecture, technology stack, and engineering standards of the unit
Design, build, and operate production-grade AI and machine learning systems and own their reliability, quality, latency, and cost
Develop classical ML and GenAI solutions, including RAG, agentic systems, and AI-powered services
Productionize ML models developed by our Data Scientists and operate them at scale
Define and enhance MLOps and LLMOps practices for deployment, versioning, monitoring, evaluation, and retraining
Own our LLM gateway, including model routing, token limits, cost per use case, guardrails, and logging
Build scalable AI services and APIs for our Full-Stack and AI Deployment Engineers
Evaluate emerging AI models, AI tooling, and agentic systems and integrate impactful innovations into our stack
Share knowledge and support the growth of junior colleagues – this is a senior individual contributor role
Your profileYou are an experienced AI engineer who combines strong software engineering fundamentals with hands-on expertise in modern machine learning and Generative AI. You enjoy solving complex problems, taking ownership, and turning ideas into production-ready solutions.
Must have
Proven experience owning AI/ML solutions in production end to end, with measurable impact
Strong software engineering skills in Python, including testing, CI/CD, and clean architecture
Solid understanding of machine learning concepts, model evaluation, and experimentation
Production experience with Generative AI, including prompting, RAG, agents, and evaluation frameworks
Experience with MLOps and model deployment workflows in Azure – AWS or GCP experience transfers
Strong understanding of trade-offs between accuracy, latency, scalability, cost, and risk
Ability to translate complex business and technical challenges into practical solutions
Curious, pragmatic, and passionate about applying the latest AI technologies to real-world problems
Strong communication skills and the ability to collaborate effectively across technical and non-technical teams
Nice to have
Fine-tuning, post-training, or inference optimization
Optimization or operations research
Experience with physical infrastructure, energy, mobility, or other asset-heavy industries
Open-source contributions or public work – side projects count [neu]
We hire for spikes, not for resumes. Don't tick every box? Apply anyway and show us what you have built.
Why us?People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events
With us, you get the best of both worlds - 100% start-up with the support of a large company
The freedom you need: We offer you hybrid working with flexible working hours
Workation: Enjoy the flexibility to work temporarily from abroad – within the EU
You will receive a competitive salary
A company pension scheme is of course also one of the benefits with us
Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year
You get everything you need to get started: onboarding with welcome gifts and all the hardware you need
ContactDiversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture! Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own. We look forward to getting to know you! LauraJunior Recruiter Do you have any questions or difficulties with your application? Please contact me at -----Find Jobs in Germany on Arbeitnow
Your Responsibilities
Shape the AI/ML architecture, technology stack, and engineering standards of the unit
Design, build, and operate production-grade AI and machine learning systems and own their reliability, quality, latency, and cost
Develop classical ML and GenAI solutions, including RAG, agentic systems, and AI-powered services
Productionize ML models developed by our Data Scientists and operate them at scale
Define and enhance MLOps and LLMOps practices for deployment, versioning, monitoring, evaluation, and retraining
Own our LLM gateway, including model routing, token limits, cost per use case, guardrails, and logging
Build scalable AI services and APIs for our Full-Stack and AI Deployment Engineers
Evaluate emerging AI models, AI tooling, and agentic systems and integrate impactful innovations into our stack
Share knowledge and support the growth of junior colleagues – this is a senior individual contributor role
Your profileYou are an experienced AI engineer who combines strong software engineering fundamentals with hands-on expertise in modern machine learning and Generative AI. You enjoy solving complex problems, taking ownership, and turning ideas into production-ready solutions.
Must have
Proven experience owning AI/ML solutions in production end to end, with measurable impact
Strong software engineering skills in Python, including testing, CI/CD, and clean architecture
Solid understanding of machine learning concepts, model evaluation, and experimentation
Production experience with Generative AI, including prompting, RAG, agents, and evaluation frameworks
Experience with MLOps and model deployment workflows in Azure – AWS or GCP experience transfers
Strong understanding of trade-offs between accuracy, latency, scalability, cost, and risk
Ability to translate complex business and technical challenges into practical solutions
Curious, pragmatic, and passionate about applying the latest AI technologies to real-world problems
Strong communication skills and the ability to collaborate effectively across technical and non-technical teams
Nice to have
Fine-tuning, post-training, or inference optimization
Optimization or operations research
Experience with physical infrastructure, energy, mobility, or other asset-heavy industries
Open-source contributions or public work – side projects count [neu]
We hire for spikes, not for resumes. Don't tick every box? Apply anyway and show us what you have built.
Why us?People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events
With us, you get the best of both worlds - 100% start-up with the support of a large company
The freedom you need: We offer you hybrid working with flexible working hours
Workation: Enjoy the flexibility to work temporarily from abroad – within the EU
You will receive a competitive salary
A company pension scheme is of course also one of the benefits with us
Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year
You get everything you need to get started: onboarding with welcome gifts and all the hardware you need
ContactDiversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture! Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own. We look forward to getting to know you! LauraJunior Recruiter Do you have any questions or difficulties with your application? Please contact me at -----Find Jobs in Germany on Arbeitnow