Senior GenAI Engineer – Agentic AI, Databricks

• Shape the architecture of GenAI solutions and co-own technical decisions from initial design through production delivery
• Design, build, and orchestrate AI agents for data collection, indexing, and market intelligence
• Integrate LLMs, prompts, and tools into reliable end-to-end workflows
• Develop and maintain data pipelines and lakehouse structures in Databricks
• Ingest, transform, and organize structured and unstructured data for AI-driven applications
• Build ontologies that organize domain concepts and relationships to ground agent reasoning
• Integrate AI agents with Databricks data and capabilities
• Evaluate Databricks Genie and custom agent frameworks and help define integration architecture
• Build and maintain Python components for web scraping, content extraction, and indexing
• Assess tools, frameworks, and implementation approaches and drive improvements across architecture, codebase, and engineering practices
• Participate in brainstorming, design reviews, and delivery
• Communicate technical decisions, challenge assumptions constructively, and share implementation insights

• Senior-level engineering experience with ownership of complex technical solutions from architecture and design through production delivery
• Strong Python engineering skills and ability to develop reliable, maintainable production code
• Hands-on experience building GenAI applications, including LLM integration, agentic frameworks, and prompt and tool orchestration
• Solid data engineering experience, including building pipelines and processing structured and unstructured data
• Practical experience with Databricks, including lakehouse structures, notebooks, and workflows
• Strong architectural judgment and ability to evaluate trade-offs and make decisions with incomplete information
• Hands-on, delivery-focused approach with technical ownership and active implementation
• Technology-agnostic mindset and ability to evaluate, adopt, and switch tools, agent frameworks, and platforms
• Strong collaboration and communication skills
• Experience with knowledge graphs or ontology-based modeling
• Experience building scalable web scraping and crawling solutions
• Familiarity with Databricks Genie or agent frameworks integrated with data platforms
• Experience in market intelligence, competitive analysis, or content indexing
• Experience shaping architecture for early-stage or greenfield projects

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