Senior GenAI Engineer (Agentic AI & Databricks)

About this role

📋 Description Take an active role in architectural decisions — propose approaches, challenge trade-offs, and Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use Develop and maintain data pipelines and lakehouse structures in Databricks Contribute to the knowledge-modeling layer, building ontologies that ground agent reasoning Integrate agents with Databricks (Genie or custom agent frameworks — architecture still being Build robust web scraping and content-indexing components in Python 🎯 Requirements Senior-level engineering experience — you've owned complex technical solutions from design through Strong Python engineering skills Hands-on GenAI experience: LLM-based applications, agentic frameworks, prompt/tool orchestration Data engineering capability: building pipelines, working with structured and unstructured data Databricks experience (lakehouse, notebooks, workflows) A builder's mindset paired with senior judgment: comfortable making decisions with incomplete 🎁 Benefits Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain

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