
Senior GenAI Engineer, Agentic AI, Databricks
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in Romania.
• Engage proactively in architectural decisions and share responsibility for the technical direction.
• Design, construct, and manage AI agents focused on data collection, indexing, and market intelligence applications.
• Create and sustain data pipelines and lakehouse frameworks within Databricks.
• Enhance the knowledge-modeling layer by developing ontologies that support agent reasoning.
• Integrate agents with Databricks Genie or custom agent frameworks.
• Develop robust web-scraping and content-indexing components utilizing Python.
• Identify and recommend enhancements to the architecture, codebase, and team practices.
• Collaborate through brainstorming sessions, design reviews, and project delivery.
• Extensive engineering experience at a senior level, managing complex technical solutions from design to production.
• Proficient in Python engineering.
• Practical experience with GenAI, including applications based on large language models, agentic frameworks, and prompt/tool orchestration.
• Skills in data engineering, including the construction of pipelines and handling both structured and unstructured data.
• Familiarity with Databricks, including lakehouse architecture, notebooks, and workflows.
• Comfort in making decisions based on incomplete information and the ability to justify technical choices.
• Tech-agnostic perspective and capability to assess, adopt, and transition between various frameworks, agent stacks, and platforms.
• Experience with knowledge graphs or ontology-based methodologies (desirable).
• Background in web scraping/crawling at scale (desirable).
• Familiarity with Databricks Genie or agent frameworks connected to data platforms (desirable).
• Experience in market intelligence, competitive analysis, or content indexing (desirable).
• Experience in shaping architecture for early-stage or greenfield projects (desirable).
• Comprehensive medical benefits.
• Support for gym memberships.
• Personalized fitness options available.
• Opportunities for team events.
• Participation in the Healthy Habits Club.
• Flexible work-life balance.
• Support for mental wellbeing.
• Initiatives for social wellbeing.
• Community activities in a hybrid work environment.
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