Staff GenAI System Engineer, Automation Foundation at Airbnb

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 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.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.Bachelors and/or Masters/Ph.D. degree preferably in Computer Science or equivalent practical experience.Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites as agreed to with your manager. While the position is Remote Eligible you must live in a state where Airbnb Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: . Please include your full name the role youre applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.Required Experience:Staff IC Key Skills Continuous Integration,APIs,Automotive software,Test Cases,Electrical Engineering,Junit,Distributed Control Systems,Testng,Java,Test Automation,Programmable Logic Controllers,Selenium Employment Type : Full-Time Experience: years Vacancy: 1