Staff Genai Backend Engineer, Automation Foundation

Airbnb Airbnb · Consumer · United States · Software Engineering

Staff GenAI Backend Engineer focused on the Automation Foundation team at Airbnb, working on a large-scale conversational AI platform and automating provisioning for internal human and AI agents. The role involves leading technical vision, backend system development, prompt engineering, and RAG patterns for AI/LLM-driven scenarios within consumer support.

What you'd actually do

  1. Lead two areas that are critical to Airbnb community support: Automation Platform, a large-scale, widely adopted conversational AI platform at Airbnb, You will also 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.
  2. Automate provisioning for our internal human agents and AI agents.
  3. Contribute to Airbnb wide initiatives (e.g. Services, Experiences, multi-region resiliency) by aligning team capabilities with shared goals and ensuring smooth integration across dependencies.
  4. Raise the bar on technical quality and execution through roadmap planning, clear ownership, and pragmatic architecture and design reviews.
  5. Partner closely with Product, Data, Science, Operations, and adjacent engineering teams to drive success metrics (e.g., NPS, CSAT, time-to-resolution)

Skills

Required

  • 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.
  • Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience.
  • Excellent collaboration and communication skills to work effectively across teams and domains.

Nice to have

  • 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.

What the JD emphasized

  • Automation Platform
  • conversational AI platform
  • AI driven products
  • AI agents
  • prompt engineering
  • RAG patterns
  • agent planning

Other signals

  • conversational AI platform
  • AI driven products
  • AI agents
  • prompt engineering
  • RAG patterns
  • agent planning