Machine Learning Engineer

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RockstarDevelopers GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

🏢 Enterprise

🤖 Artificial Intelligence

🤝 B2B

Enterprise • Artificial Intelligence • B2B

RockstarDevelopers GmbH is a German software engineering and consulting firm that builds enterprise‑grade web, AI and Web3 solutions for large B2B clients. They provide end‑to‑end services including frontend, full‑stack and mobile development, AI application development (OpenAI Enterprise, LangChain, vector DBs), Web3 projects, and technical consulting around architecture, microservices, migrations and process optimization. The company focuses on digital transformation and modernization for enterprise customers, partnering with well‑known brands to deliver scalable, production‑ready systems and strategic digital roadmaps.

📋 Description

• Build LLM applications. • Develop dialogue-based systems and semantic search and integrate them into the domain-specific applications of the industry solution. • Set up and maintain RAG systems, including knowledge-base management: indexing, updates, and clean source-separated storage of structured and unstructured content. • Operation and monitoring. • MLOps in production: observability, structured logging, and error analysis. • Ensure systems run reliably, not just that they worked once. • Deploy agents to production, from development and integration through to stable delivery. • Improve systems based on monitoring data, testing, and user feedback. • Identify new AI use cases, prototype them, and build data pipelines from preprocessing and model development to production.

🎯 Requirements

• At least 2 years of professional experience as a Machine Learning Engineer in designing, developing, implementing, and optimizing scalable ML solutions. • At least 2 years of experience working in agile development teams. • German at least C1 level (spoken and written), demonstrable via a language certificate or as a native speaker. • Degree in Computer Science, Business Informatics, or a comparable qualification, verifiable by diploma or self-declaration. • Ideally: vector search and semantic indexing in vector databases, preferably Milvus. • Backend development with Python, preferably FastAPI. • LLM orchestration with LangChain or LangGraph. • Operating production-grade AI systems: monitoring (ideally Grafana), structured logging, error analysis, deployment. • Privacy-compliant AI design, especially when handling personal data in logging and observability. • Experience deploying GenAI for many users, preferably in a multi-tenant environment. • Kubernetes, ArgoCD, Jenkins. • Experience with agile delivery frameworks, ideally SAFe. • Experience from public sector projects.

🏖️ Benefits

• Real production projects. • AI that goes live with clients. • Not an innovation lab — no endless slide decks. • Remote-first within the DACH region. • Occasionally on-site; otherwise work from wherever you are most productive. • Modern AI stack. • RAG, agents, vector search, MLOps. • Current stack, no legacy baggage. • Internal upskilling. • We invest in your AI skills. • MacBook provided, unless the client supplies their own hardware. • Flat hierarchies. • The founders are your direct contacts. • A team that knows each other, even when working distributed.