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AirbnbAirbnbUnited States

Staff GenAI System Engineer, Automation Foundation

Leads development of Airbnb's conversational AI Automation Platform and agent provisioning systems. Drives backend optimization, prompt engineering, and LLM integrations with 9+ years experience in scalable architectures.

204k – 255k/yr
Remote9+ YOEML Engineering

About the role

The Community You Will Join

Providing world class customer service for our community of guests and hosts is a critical mission of Airbnb. The Automation Foundation team under Airbnb Community Support is critical for creating the best customer service experience for our users.

The Difference You Will Make

As a staff software engineer, you will lead two areas critical to Airbnb community support:

  • Automation Platform, a large-scale, widely adopted conversational AI platform at Airbnb. You will collaborate with different AI & ML engineering teams, cross-functional business partners and contribute directly to the success of many AI driven products for our community.
  • Automate the provision for our internal human agents and AI agents.

A Typical Day

  • Collaborate cross-functionally with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness.
  • Drive the technical vision and strategy for workflow and backend optimization.
  • Lead and contribute to the full development cycle: technical design, implementation, testing, experimentation, and deployment.
  • Participate in code and design reviews, offering constructive feedback to improve technical quality.
  • Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.

Your Expertise

  • 9+ years of software development experience in service-oriented architectures and backend development.
  • Expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture.
  • Expertise in designing and iterating on prompt engineering to fine-tune AI capabilities for AI/LLM-driven scenarios.
  • Expertise of RAG patterns, memory routing, and agent planning.
  • Expertise in integrating LLMs with APIs, vector databases, and orchestration framework.
  • Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience.
  • Excellent collaboration and communication skills to work effectively across teams and domains.
  • Passion for agile development, system optimization, and team productivity enhancements.
  • Bachelor’s and/or Master’s/Ph.D. degree, preferably in Computer Science, or equivalent practical experience.

Skills

LLMsPrompt EngineeringRAGVector DatabasesBackend DevelopmentService-Oriented ArchitectureWorkflow OptimizationAgent PlanningMemory RoutingOrchestration Framework

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