Staff GenAI System Engineer, Automation Foundation

Airbnb

11d•$204,000 - $255,000•Remote

About The Position

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Providing world class customer service for our community of guests and hosts is a critical mission of Airbnb. This is an area of unprecedented scale and complexity. In no other domain the efficiency and reliability of servicing tech translates so directly into competitive advantage, brand loyalty and the fundamentals of the business. The Automation Foundation team under Airbnb Community Support is critical for the goal of creating the best customer service experience for our users. The Difference You Will Make: As a staff software engineer, you will 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. 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.

Requirements

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.

Responsibilities

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.