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Airbnb

Airbnb is a community based on connection and belonging.

Senior Software Engineer, AI Products

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

121 days ago

Salary

$191K - $223K / year

Seniority

Senior

Job Description

Senior Software Engineer, AI Products

Airbnb

• 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

Job Requirements

  • 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.

Benefits

  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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