Senior Software Engineer, BizTech(AI Products)

Airbnb

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 4 days ago
Vacancies: 1 Vacancy

Job Summary

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.


Senior Software Engineer AI Products (India)

Company Overview

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

The 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 youll work on platforms that serve Airbnbs entire global workforce.

Our portfolio includes One Airbnb (the companys internal cultural hub with enterprise search people profiles and AI-powered chat) OneChat (Airbnbs 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.

Youll be joining the AI for Non-Developers workstream focused on expanding AI productivity tools to all Airbnb employeesbuilding 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 Make

As a Senior Software Engineer on the Airfam Products team youll be instrumental in building Airbnbs next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire companyevery AI feature you ship every system you architect and every engineer you mentor will amplify productivity across Airbnbs 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

A Typical Day

  • 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 Airbnbs 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

Your Expertise

Required:

  • 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
  • Bachelors degree in Computer Science Engineering or equivalent practical experience

Preferred:

  • Masters 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 ) 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. Youll collaborate with teammates across global time zones with primary alignment to Pacific Time for key meetings.

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.

If you need assistance or a reasonable accommodation during the application and recruiting process please contact us at: .


Required Experience:

Senior IC

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 ...
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Get an Airbnb for every kind of trip → 7 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide

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