Key skills
AWSCloudDistributed SystemsGoogle Cloud PlatformGraphQLJavaPythonTypeScriptGoAIMLLLMLarge Language ModelsRAGAgenticGCPGoogle CloudLeadershipCommunication
About this role
Role Overview
- 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
- 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.
Tech Stack
- AWS
- Cloud
- Distributed Systems
- Google Cloud Platform
- GraphQL
- Java
- Python
- TypeScript
- Go
Benefits
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.