Senior GenAI Engineer (Agentic AI & Databricks)
Core
Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use cases on a modern lakehouse platform.
Role type
Senior GenAI Engineer (Agentic AI & Databricks)
Builds
AI agents, data pipelines, lakehouse structures, and knowledge-modeling layers
Domain
Enterprise AI, Data Engineering, Market Intelligence
Deliverable
production ML models
Required skills
Python engineering, GenAI/LLM application development, agentic frameworks, prompt/tool orchestration, data pipeline construction, Databricks lakehouse architecture, ontology/knowledge modeling
Preferred skills
Knowledge graphs, large-scale web scraping, Databricks Genie, early-stage architecture shaping
Technologies
Python, Databricks, LLMs, agentic frameworks
Responsibilities
Propose and co-own technical architectural decisions; Design and build AI agents for data collection and market intelligence; Develop and maintain data pipelines and lakehouse structures; Build ontologies to ground agent reasoning; Integrate agents with Databricks; Build web scraping and content-indexing components
Seniority
Senior, hands-on IC