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Airbnb

Senior Software Engineer, AI Products

Airbnb

Senior Software Engineer developing AI products for Airbnb. Building tools and platforms to enhance productivity and democratize AI technology among employees.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $191,000 - $223,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsGoGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesNext.jsPythonReactTerraformTypeScript

About the role

Key responsibilities & impact
  • 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, agent orchestration, 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
  • Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments
  • 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, safety, and user satisfaction
  • 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 emerging AI technologies and evaluate their applicability to employee experience products
  • Balance hands-on technical contributions with technical leadership activities

Requirements

What you’ll need
  • 8+ years of software engineering experience, with significant focus on building production AI/ML systems
  • Deep understanding of Large Language Models (LLMs) including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
  • Strong proficiency in Python and at least one additional language (TypeScript, Go, or Java)
  • Experience building and deploying production ML systems at scale with high availability and low latency requirements
  • Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP)
  • 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
  • BS in Computer Science, Engineering, or equivalent practical experience.
  • Master's or PhD in Computer Science, Machine Learning, or related field (preferred)
  • Experience with AI agent frameworks (LangChain, LangGraph, or similar) and agentic development patterns (preferred)
  • Experience integrating foundation model APIs (OpenAI, Anthropic/Claude, Google) (preferred)
  • Familiarity with ML evaluation systems, including LLM-as-a-judge approaches (preferred)
  • Experience with containerization and orchestration (Kubernetes), infrastructure-as-code (Terraform) (preferred)
  • Background in building enterprise-grade internal tools and developer productivity platforms (preferred)
  • Experience with frontend technologies (React, Next.js) for full-stack AI product development (preferred)
  • Publications at top AI/ML venues a plus (preferred)

Benefits

Comp & perks
  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

ATS Keywords

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Hard Skills & Tools
Large Language Models (LLMs)PythonTypeScriptGoJavaAPI designRESTGraphQLKubernetesTerraform
Soft Skills
collaborationinfluence without authoritycommunicationmentoringtechnical leadership
Certifications
BS in Computer ScienceMaster's in Computer SciencePhD in Computer ScienceMachine Learning