New RJRP now shows Market-Observed Roles alongside verified postings — scored by our Hiring Activity algorithm. How it works →
🔍
Market-Observed Role 🔍 Observed Very Active (80-100)
This role was detected through Airbnb's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Very Active (80-100) based on freshness, specificity, and company patterns. What does this mean? →

Senior Software Engineer, BizTech(AI Products)

Airbnb
🔍 Observed
89
Hiring Activity Score
Very Active (80-100)
  • Base score
  • Just posted (1d, flat to 14d)
  • has location, quality description (6395 chars), named stack (8 tools)
  • 184 new listings in 30d (×0.98 age 1d)
  • 8 skills
  • Tier 1 reputable (Airbnb) ×0.98 age 1d
  • Direct ATS (greenhouse)
How the Hiring Activity Score works →
Bangalore, India First seen 1 day, 17 hours ago Last seen 5 hours, 2 minutes ago Greenhouse
Apply on Greenhouse Search Google for This Role

ATS links often expire — Google search finds the latest posting

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.

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, 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 Make

As 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

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 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

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
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred:

  • 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 & 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: reasonableaccommodations@airbnb.com.

Skills

react kubernetes go git typescript docker aws java
Job Information
  • Company:
    Airbnb
  • Location:
    Bangalore, India
  • Job Type:
    Internship
  • Experience Level:
    Senior
  • Source:
    Greenhouse
  • Status:
    Active
Activity Score
89 /100
Very Active (89)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

+
🔍

We now show two types of job listings

Same commitment to real jobs. More opportunities for you. Here's how it works.

✓ Verified Employer-Verified Posts

These jobs were posted directly to RJRP by the employer. The company has been verified through our multi-step process. This is our gold standard — the employer is real, the job is real, and you can apply with confidence.

✓ 100% employer verified
🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

📊 Only high-scoring listings are shown

Our promise hasn't changed. We will never show you a listing we can't stand behind. Market-observed roles must pass our scoring threshold before they appear on RJRP. Anything that looks like a ghost job, a talent pipeline, or a dead listing gets filtered out — you'll never see it.