Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you lead the development and operation of a cloud environment for AI applications, create CI/CD pipelines, integrate data sources, and implement monitoring tools to ensure system quality.
Job Technologies
Your role in the team
- The AI Platform Engineer (all genders) is the person who builds and operates the foundation: the cloud environment, the model gateway, and the data integration on which knowledge bases, retrieval, and agents ultimately run.
- You work closely with colleagues who, based on this foundation, build the actual retrieval and agent systems – your platform is their foundation.
- You bring several years of experience, with which you make independent decisions, take responsibility for a system as a whole, and stand by the consequences of your decisions.
- Operate cloud infrastructure. You are responsible for Infrastructure-as-Code, CI/CD, as well as security and networking fundamentals of the platform on a hyperscaler of your choice (AWS, Azure, or GCP).
- Operate model gateways. You build and manage the integration of our language models, both open and proprietary, including routing, fallbacks, and cost control.
- Integrate data sources. You build ingestion pipelines and data contracts that reliably connect new sources (e.g., DAM, CMS, Adtech/Martech) to the knowledge and retrieval layer, in close coordination with colleagues who are responsible for our data platform in the long term.
- Set up observability infrastructure. You provide the tracing and monitoring tooling that continuously measures quality, costs, and latency.
- Make decisions responsibly. You independently make technical decisions regarding stack, costs, and scaling, openly communicate trade-offs, and advocate for them with stakeholders.
- Ensure collaboration. You coordinate closely with colleagues who build retrieval and agent systems on your infrastructure to ensure smooth handovers.
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Our expectations of you
Qualifications
- You develop production-grade software, ideally in Python, and are familiar with containerization and microservice architectures.
- You have a basic understanding of RAG and agent systems: enough to design infrastructure that effectively supports vector databases, agent runtimes, and retrieval workloads.
- You can substantiate technical decisions convincingly, openly discuss trade-offs, and stand by the consequences of your decisions.
- You are accustomed to taking end-to-end responsibility for a system, even without someone already providing you with the architecture.
- You are curious, quickly acquire new tools and concepts, and want to develop visibly.
Experience
- You have 5-8 years of experience in cloud, platform, or infrastructure engineering, including several years of hands-on experience in production.
- You have several years of practical experience with a hyperscaler (AWS, Azure, or GCP) - cloud services, Infrastructure-as-Code, CI/CD, security and networking fundamentals, Kubernetes or managed Kubernetes.
- You have experience with ingestion and orchestration tools, data contracts, and the fundamentals of lineage and data freshness — enough to connect data sources cleanly to a knowledge layer.
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What we offer
- Responsibility for infrastructure that is truly in production, with direct relevance to the group's AI future.
- Proximity to decisions regarding models, architecture, and data strategy.
- An environment that challenges you technically and where good ideas quickly become real systems.
- Space for you to develop further towards platform architecture or technical leadership, depending on where you want to go.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Serviceplan Group
Since our founding in 2002, we have specialized in performance-oriented online, social and content campaigns. Based on this wealth of experience, we have further developed into a 360 ° planning media agency in 2018. With the view from the digital perspective on the classical media, we work out cross-media and data-based mediastrategies for our customers.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
AI Platform Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
