Airbnb AI Engineer, Community Support Engineering Recruitment 2026: Apply Online for Various Vacancies
AI Engineer, Community Support Engineering
Job Overview
About the Role and Team
Airbnb is seeking a highly skilled and motivated AI Engineer to join the Integrated Knowledge Management team, which is a core part of Airbnb’s Community Support Engineering group. This team is foundational to creating the best customer service experience for our global community of hosts and guests. The Integrated Knowledge Management team is responsible for building robust and scalable platforms that enable Airbnb’s content and knowledge to be leveraged across internal and external users, and to serve as the authoritative knowledge source for AI-powered applications and support surfaces.
Key Objectives and Impact
As an AI Engineer, you will help build out our next-generation Retrieval-Augmented Generation (RAG) platform and AI-powered support surfaces such as the Help Center. You will be deeply involved in building highly available and scalable services in close collaboration with engineering, ML/AI, product, content, data science, and operations teams to meet the ever-evolving needs of Airbnb’s Community Support Engineering group. Many complex problems exist in this domain, including expanding our RAG systems to support new knowledge and solution sources, building the capabilities required for Airbnb’s expanding suite of AI-powered contextual in-product support applications, and implementing ways to improve velocity around experimentation and evaluation.
Detailed Responsibilities
- Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product, and operational teams) to design and build end-to-end AI-powered product solutions to improve Airbnb’s customer service experience.
- Use AI tooling to analyze data, build hypotheses, experiment, learn, and iterate to improve the Integrated Knowledge Management services.
- Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.
- Advocate and participate in efforts to advance Airbnb’s engineering processes, technical foundations, and AI tooling.
- Design and implement robust APIs and high-volume data pipelines to support real-time AI inference and retrieval.
- Contribute to the continuous improvement of machine learning models and retrieval algorithms to ensure high-quality, context-aware support.
Work Environment and Location
This position is China-based and fully remote. The role may include occasional work at an Airbnb office (such as Beijing) or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. Airbnb is committed to providing a flexible, inclusive, and highly collaborative remote work environment where engineers can thrive regardless of their physical location.
Why Join Airbnb?
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. By joining the Community Support Engineering team, you will work on systems of unprecedented scale and complexity, where the efficiency and reliability of customer service technology translate directly into a competitive advantage, brand loyalty, and the business’s bottom line.
Commitment to Diversity and Inclusion
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. Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.
Key Job Details
| Company Name | Airbnb |
| Job Role | AI Engineer, Community Support Engineering |
| Experience | 3+ years |
| Salary Range | Competitive |
| Job Type | Full-Time |
| Work Mode | Remote |
| Openings | Various |
| Job Location | China (Remote) |
Key Responsibilities
- Collaborate with global cross-functional working groups to design and build end-to-end AI-powered product solutions.
- Use AI tooling to analyze data, build hypotheses, experiment, and iterate to improve services.
- Optimize system availability, performance, and scalability.
- Advocate and participate in efforts to advance engineering processes, technical foundations, and AI tooling.
Requirements & Qualifications
- 3+ years of industry experience directly contributing to the design, implementation, evaluation, and operation of AI-powered applications.
- Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python).
- Proven track record of delivering AI-powered backend solutions in a collaborative environment.
- Experience with architectural patterns of large-scale systems, including well-designed APIs, high-volume data pipelines, and efficient algorithms.
- Demonstrated ability to make data-driven decisions and articulate technical trade-offs.
- BS, MS or PhD in Computer Science or related field.
- Ability to communicate proficiently in English in a professional setting.
Required Skills
- Backend Programming (Java, Kotlin, Scala, Python)
- Retrieval-Augmented Generation (RAG) Systems
- Search, Retrieval, and Ranking Systems
- Agentic Systems
- API Design & Microservices
- High-volume Data Pipelines
- System Scalability & Performance Optimization
- Data-driven Decision Making
About Airbnb
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.
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