- Take an active role in architectural decisions and co-own the technical direction
- Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use cases
- Develop and maintain data pipelines and lakehouse structures in Databricks
- Contribute to the knowledge-modeling layer by building ontologies that ground agent reasoning
- Integrate agents with Databricks Genie or custom agent frameworks
- Build robust web-scraping and content-indexing components in Python
- Identify and propose improvements to the architecture, codebase, and team practices
- Collaborate through brainstorming, design reviews, and delivery
Requirements
- Senior-level engineering experience owning complex technical solutions from design through production
- Strong Python engineering skills
- Hands-on GenAI experience, including LLM-based applications, agentic frameworks, and prompt/tool orchestration
- Data engineering capability, including building pipelines and working with structured and unstructured data
- Databricks experience, including lakehouse, notebooks, and workflows
- Comfortable making decisions with incomplete information and defending technical positions
- Tech-agnostic mindset and ability to evaluate, adopt, and switch between frameworks, agent stacks, and platforms
- Experience with knowledge graphs or ontology-based approaches (nice to have)
- Web scraping/crawling at scale (nice to have)
- Exposure to Databricks Genie or agent frameworks connected to data platforms (nice to have)
- Experience in market intelligence, competitive analysis, or content indexing (nice to have)
- Experience shaping architecture in early-stage or greenfield projects (nice to have)
Core Competencies
Demonstrates expertise in Python engineering, data pipeline development, and AI agent orchestration, with a strong focus on leveraging Databricks for data management and market intelligence applications. Capable of making informed architectural decisions and collaborating effectively in a team environment.
Highest-signal resume keywords
- Python Engineering
- Databricks Experience
- GenAI Experience
- Data Engineering
- Web Scraping
Hard Skills
- Data Pipeline Development
- AI Agent Design
- Ontologies Building
- Content Indexing
- Market Intelligence
Soft Skills
- Collaborative Problem Solving
- Decision Making
Industry Keywords
- Knowledge Graphs
- Competitive Analysis
- Web Crawling
Tools & Technologies
- Databricks Genie
- Agent Frameworks
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Senior GenAI Engineer, Agentic AI, Databricks Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
