Senior Software Engineer, BizTech

Airbnb

Senior Software Engineer developing AI productivity tools at Airbnb for enhancing employee efficiency and collaboration. Leading technical design and implementation of AI-powered solutions across the global workforce.

Posted 5/26/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $191,000 - $223,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoGoogle Cloud PlatformGraphQLJavaPythonTypeScript

About the role

Key responsibilities & impact

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)

Benefits

Comp & perks

bonuses
equity
benefits
Employee Travel Credits

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Large Language Models (LLMs)fine-tuningprompt engineeringembeddingsretrieval-augmented generation (RAG)PythonTypeScriptGoJavaAPI design

Soft Skills

collaborationinfluence without authoritycommunicationmentoringtechnical leadership

Certifications

BS in Computer ScienceMaster's in Computer SciencePhD in Computer Science