Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
You develop production-grade AI systems such as dialog systems and RAG pipelines for the public sector, integrating them into industry solutions and optimizing them through monitoring and user feedback. Remote-first within the DACH region.
Job Technologies
Your role in the team
- You develop productive AI systems (LLM, RAG, agents) for large clients in the public sector. Not prototypes for the drawer, but software that runs in regular operations.
- Our clients are IT service providers in the public sector, operating in a regulated environment with high demands for data protection and operational security. There, you will integrate AI solutions into existing industry solutions: dialogue systems, semantic search, RAG pipelines, agents, all in real production environments for many users.
- A word about remote work, because it is often the first question: The daily routine operates remote-first within the DACH region. Occasionally, you are on-site; the rest of the time, you work from wherever you work best.
- Build LLM applications. You develop dialogue-based systems and semantic search, integrating them into the industry solution's specialized applications.
- Set up and maintain RAG systems, including knowledge base management: indexing, updating, and clean source-separated storage of structured and unstructured content.
- Operation and Monitoring. MLOps in Production: Observability, Structured Logging, Error Analysis. You ensure that the systems are running, not just that they ran once.
- Deploy agents productively. From development through integration and connection to portal systems to stable delivery.
- Improve based on data. Using monitoring data, tests, and user feedback, you make the solutions gradually better.
- Experimenting with new things. You identify new AI application areas, test them out, and build the data pipelines from preprocessing through model creation to deployment.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, or a comparable qualification, verifiable through certificate or self-declaration.
Qualifications
- German at least at C1 level in speaking and writing, verifiable through a language certificate or as a native speaker.
- Vector search and semantic indexing in vector databases, ideally Milvus.
- Backend development with Python, preferably FastAPI.
- LLM orchestration with LangChain or LangGraph.
- Operation of production-related AI systems: monitoring (preferably Grafana), structured logging, error analysis, deployment.
- Data protection-compliant AI design, especially when handling personal data in logging and observability.
- GenAI in use for many users, ideally in a multi-tenant environment.
- Kubernetes, ArgoCD, Jenkins.
Experience
- At least 3 years of professional experience as a Machine Learning Engineer in designing, developing, implementing, and optimizing scalable ML solutions.
- At least 2 years of experience in agile development teams.
- Experience with agile delivery structures, ideally SAFe.
- Experience from public administration projects.
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What we offer
- Real production projects. AI deployed at the client's site. No innovation lab, no slides.
- Remote-first in the DACH region. Occasionally on-site, otherwise you work from where you work best.
- Modern AI stack. RAG, agents, vector search, MLOps. Current stack, no legacy baggage.
- Internal Upskilling. We invest in your AI skills.
- MacBook, unless the customer provides their own hardware.
- Flat hierarchies. The founders are your direct contacts.
- A team that knows each other, even when working remotely.
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Topics that you deal with on the job
Job Locations
This is your employer
Rockstardevelopers GmbH
Founded in 2013, Rockstardevelopers GmbH is an established IT company specializing in the development of complex web and mobile applications. With a wide range of services, it supports businesses in their digital transformation.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Machine Learning Engineer
- Location
- Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
