Airbnb
AIEngineer,CommunitySupportEngineering
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer, Community Support Engineering at Airbnb. Skills: AI-powered applications, Retrieval-Augmented Generation (RAG). Build out next-generation Retrieval-Augmented Generation (RAG) platform. Build AI-powered support surfaces such as the Help Center”
What You'll Achieve.
Meet the ever-evolving needs of Airbnb’s Community Support Engineering group; Improve Airbnb’s customer service experience
What They're Looking For.
Must Have
3+ years of industry experience directly contributing to the design, implementation, evaluation, and operation of AI-powered applications, 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, from ideation and planning to implementation and launch, 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, articulate technical trade-offs, and communicate effectively with cross-functional partners, BS, MS or PhD in Computer Science or related field, Ability to communicate proficiently in English in a professional setting
Nice to Have
Recent industry experience building Retrieval-Augmented Generation (RAG) systems, search, retrieval and ranking systems to power end-to-end AI-powered products, or Agentic Systems
What You'll Do.
Build out next-generation Retrieval-Augmented Generation (RAG) platform
Build AI-powered support surfaces such as the Help Center
Build highly available and scalable services
Expand RAG systems to support new knowledge and solution sources
Build capabilities for AI-powered contextual in-product support applications
Implement ways to improve velocity around experimentation and evaluation
Design and build end-to-end AI powered product solutions to improve Airbnb’s customer service experience
Use AI tooling to analyze data
learn and iterate to improve the Integrated Knowledge Management services
Optimize system availability
Push enhancements for improved efficiency
Advance Airbnb’s engineering processes
technical foundations
How You'll Work.
Team & Collaboration
Close collaboration with engineering, ML/AI, product, content, data science and operations teams; Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams)
Communication Scope
Communicate effectively with cross-functional partners; Communicate proficiently in English in a professional setting
Full Job Description
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 for Airbnb. This area has unprecedented scale and complexity. In no other domain does the efficiency and reliability of customer service technology translate directly into a competitive advantage, brand loyalty, and the business's bottom line. The Integrated Knowledge Management team, part of Airbnb’s Community Support Engineering, is foundational to creating the best customer service experience for our 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. The Difference You Will Make: As an AI Engineer on the Integrated Knowledge Management team, 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 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 velo
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