Job
In this role, you will develop scalable data platforms and RAG pipelines for advanced AI systems, working closely with cross-functional teams and visualizing data for comprehensive analytics solutions.
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Job technologies
Your role in the team
- As a Senior Data Engineer (m/f/d), you will be at the forefront of building our data infrastructure for our AI product from the ground up.
- You'll architect and implement scalable data platforms and advanced RAG pipelines that power our proprietary AI systems, working alongside AI engineers and cross-functional teams to bring cutting-edge reasoning models to life.
- Build data and analytics platforms at scale, including data stores/warehouses and RAG pipelines for AI systems and reasoning models that go beyond standard LLMs.
- Work with AI Engineers to design, implement, and test innovative ideas for advanced AI reasoning, using our proprietary ontology and algorithms combined with public tools and data.
- Visualize data with dashboarding and analytics solutions, and mentor other engineers in data engineering best practices to ensure we build high-quality solutions for our customers.
- Improve our approach to quality assurance and data ingestion by introducing new tools and frameworks.
- Collaborate closely with various stakeholders, such as AI Engineers, Product Managers, Chief Officers, and software teams, to integrate AI features into user-facing products.
Our expectations of you
Education
- University degree in Computer Science, Software Engineering, Data Science/Engineering, or a related discipline, and 4+ years of experience in agile development projects.
Qualifications
- Strong analytical and problem-solving skills, comfortable with ambiguity and the rapid changes common in early-stage product development.
- Additional expertise with AI tools and LLM providers, implementing advanced RAG pipelines (e.g., GraphRAG), agents/MCP, multi-agent architectures, ML model training, LLM fine-tuning, RLHF, LLM-as-a-judge metrics, and working in a multidisciplinary environment on customer-facing products and research projects.
- Excellent verbal and written communication skills in English, with the ability to collaborate effectively across multidisciplinary teams.
Experience
- Experience with data engineering for ML/AI production deployment/MLOps using cloud platforms (Azure, AWS and/or GCP) and designing architectures for data platforms and data processing pipelines, building batch and real-time streaming solutions leveraging e.g. PySpark or Kafka.
- Experience with data warehousing services (AWS Redshift, Snowflake), LLM data stores, SQL/NoSQL tools, and data management processes.
What we offer
- Salary package based on your previous experience and qualifications, reviewed annually as part of our Performance and Progression process, along with an individual learning and development budget to support your growth.
- Work hands-on with the latest technologies from day one, help shape the future of engineering, and gain insights across a wide range of industries.
- Hybrid work setup giving you the flexibility to balance focused work with staying close to your clients and colleagues, along with your choice of operating system.
- Everyday perks including subsidized lunch through our Foodji.
- Access to mobility benefits such as the Deutschlandticket and JobRad.
- Access to our Become1 benefits card and health benefits such as Wellpass and OpenUp.
- Regular team and company events: our Christmas party, eigendays, quarterly team-building events, and an annual company offsite.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
The eigenblue GmbH, based in Munich, Germany, is engaged in developing advanced AI systems that assist engineers in designing and implementing complex physical systems. The company integrates software, electronics, mechanics, and applied physics to create practical solutions.
- Startup
- Hybrid, Onsite
- Internet, IT, Telecommunication
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