Senior GenAI Engineer (Agentic AI & Databricks)
Core
Design, build, and orchestrate AI agents and knowledge models to automate knowledge-intensive workflows and generate insights from diverse data sources.
Role type
Senior GenAI Engineer (Agentic AI & Databricks)
Builds
AI agent ecosystems, lakehouse data platforms, and knowledge modeling layers
Domain
Artificial Intelligence / Data Engineering / Knowledge Graphs
Deliverable
production ML models | product features
Required skills
Python, GenAI application development, LLM integration, agentic frameworks, prompt orchestration, data engineering, Databricks, lakehouse architecture, web scraping, ontology development
Preferred skills
Knowledge graphs, scalable web crawling, Databricks Genie, market intelligence, greenfield architecture
Technologies
Python, Databricks, LLMs, agentic frameworks
Responsibilities
Shape GenAI solution architecture and co-own technical decisions; Design and orchestrate AI agents for data collection and market intelligence; Develop data pipelines and lakehouse structures in Databricks; Build ontologies to organize domain concepts; Integrate AI agents with Databricks capabilities; Develop Python components for web scraping and content extraction; Evaluate tools and drive continuous improvement in engineering practices
Seniority
Senior, hands-on IC