• Work on search infrastructure engineering projects to improve search experience, in collaboration with product teams. • Up-level search system reliability, scalability and performance, in collaboration with Infrastructure teams. • Use the data in the Knowledge Graph to power rich product use-cases and also enrich the existing data based on measurement. • Build the next generation search platform to power different products at Airbnb, including typeahead, contextualizing and personalizing search results.

• Build and maintain internal engineering tooling that improves builder flow and reduces friction across the company. • Provide guidance, best practices, and automation to support adoption of AI agentic coding tools. • Develop and operate internally facing agents. • Implement and improve developer workflows, including guardrails, evaluation approaches, and guidance that enables safe adoption of new tooling. • Own development and operation of our internal agent platform. • Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. • Build measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact and guide iteration. • Own documentation and enablement materials that help builders succeed using the paved roads. • Participate in on-call to support internal users.

• Lead the design, build, and evolution of internal engineering tooling that improves builder flow and reduces friction across the company. • Define best practices and drive adoption of AI agentic coding tools through guidance, automation, and hands-on enablement. • Architect, develop, and operate internally facing agents that scale across teams and use cases. • Own and continuously improve developer workflows, including guardrails, evaluation frameworks, and guidance that enables safe and effective adoption of new tooling. • Own the strategy, development, and operation of our internal agent platform, setting direction and ensuring reliability and scalability. • Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. • Establish and drive measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact, inform prioritization, and guide iteration. • Create and maintain clear documentation, playbooks, and enablement materials, and proactively drive adoption of paved roads across the organization. • Mentor and support engineers on the team, raising the bar on technical design, execution, and use of AI-enabled tooling. • Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience.

• Gain hands-on experience in designing, developing, and maintaining full-stack applications using cutting-edge technologies. • Work alongside experienced engineers, contribute to real-world projects. • Learn the fundamentals of building robust and high-performing systems. • Contribute to production systems, tackle meaningful technical challenges, and help build technology that directly impacts customer safety and success.