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, 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

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.
Master's or PhD in Computer Science, Machine Learning, or related field (preferred)

Senior Software Engineer, BizTech – AI Products

Key skills