Senior GenAI Engineer Databricks (mf)

As a Senior GenAI Engineer (m/f/*) you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines enabling GenAI capabilities and delivering production-grade solutions that support data-driven innovation at scale.

WHAT WE OFFER

• Flexible work options including fully remote or hybrid arrangements (candidates must be located in Germany)
• A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
• Contribute your ideas to our unique projects and make an impact by turning them into reality
• Balance your work and personal life through our workflow organization and decide yourself if you workat home in the office or on a hybrid setup
• Annual performance review and regular feedback cycles generating distinct value by connecting colleagues through networks rather than hierarchies
• Individual development plan professional development opportunities
• Educational resources such as paid certifications unlimited access to Udemy Business etc.
• Local virtual and global team events in which UT colleagues become acquainted with one another

• Design and implement GenAI solutions on the Databricks Lakehouse Platform leveraging LLMs embedding models and vector search capabilities.
• Build and maintainRAG pipelines including text preprocessing embedding generation and retrieval using vector databases.
• Work with DatabricksFoundation Model APIs MLflow and other AI tooling to prototype and deploy GenAI applications.
• Collaborate with data engineers ML engineers and business stakeholders tobuild impactful GenAI use cases - (e.g. chatbots document Q&A code assist summarization).
• Evaluate and fine-tune foundation models manage prompt engineering and optimize performance.
• Contribute to the development ofGenAI best practices across model selection security governance and cost-efficiency.

WHAT YOULL BRING

• 35 years of experience in solution engineering or similar hands-on technical roles.
• Proven track record with GenAI frameworks and tools (e.g. OpenAI Hugging Face LangChain).
• Experience building LLM-based applications and working with tokenization embedding models and prompt engineering.
• Familiarity with the Databricks ecosystem (MLflow Unity Catalog Vector Search Foundation Model APIs).
• Strong collaboration and communication skills with the ability to work across interdisciplinary teams.
• Professional communication skills in German & English (C1-level written and spoken).

Nice to have

• Experience implementing retrieval-augmented generation (RAG) pipelines using vector databases (e.g. FAISS Chroma Weaviate).
• Familiarity withLakehouse AI Unity Catalog for GenAI governance and Databricks MosaicML.
• Background inNLP question answering summarization or GenAI product development.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race ethnicity national or social origin disability sex sexual orientation or age.

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