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.
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 JoinThe Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce.
Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done.
You'll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees—building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.
The Difference You Will MakeAs a Senior Software Engineer on the Airfam Products team, you'll be instrumental in building Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company—every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb's global workforce.
You will:
- Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
- Drive innovation by taking AI prototypes from concept to production at scale
- Shape the future of how Airbnb employees work, collaborate, and discover information
- Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
- Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
- Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
- Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
- Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
- Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
- Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
- Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
- Balance hands-on technical contributions with technical leadership activities
- 8+ years of software engineering experience, with significant focus on building production AI/ML systems
- 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
- Strong proficiency in backend technologies (TypeScript, Go, or Java)
- Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
- Track record of shipping AI-powered products from prototype to production
- Proven ability to collaborate cross-functionally and influence without authority
- Excellent communication skills with ability to distill complex technical concepts for diverse audiences
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Master's or PhD in Computer Science, Machine Learning, or related field
- Experience building AI agents and multi-agent systems, preferably using Claude
- Experience building integrations using MCP
- Experience with containerization and orchestration (Docker, Kubernetes)
- Background in building enterprise-grade internal tools and developer productivity platforms
- Experience with frontend technologies (React, Next.js) for full-stack AI product development
- Contributions to open-source Gen AI/ML projects or publications at top venues
Your Location
This position is based in Bangalore, India with a hybrid work arrangement. You'll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.
Our Commitment to Inclusion & BelongingAirbnb 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.
If you need assistance or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].
Skills Required
- 8+ years of software engineering experience focusing on production AI/ML systems
- 2+ years hands-on experience with Large Language Models (LLMs)
- Strong proficiency in Python and at least one additional language (TypeScript, Go, or Java)
- Experience with LLM orchestration frameworks such as LangChain or LangGraph
- Proficiency with ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying production ML systems at scale
- Strong SQL skills and experience with data pipelines
- Experience with API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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