Senior GenAI Engineer, Agentic AI, Databricks

• 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

• 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)

• Medical benefits
• Gym support
• Personalised fitness options
• Team events
• Healthy Habits Club
• Flexible work-life dynamic
• Mental wellbeing support
• Social wellbeing initiatives
• Hybrid-environment community activities