Senior Software Engineer, BizTech

Airbnb is a leading company in the hospitality industry, connecting hosts and guests globally. They are seeking a Senior Software Engineer to join the Airfam Products team, focusing on building AI-powered employee experience platforms that enhance productivity for the entire workforce.

Responsibilities:

• 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
• Master's or PhD in Computer Science, Machine Learning, or related field
• Experience with AI agent frameworks (LangChain, LangGraph, or similar) and agentic development patterns
• Experience integrating foundation model APIs (OpenAI, Anthropic/Claude, Google)
• Familiarity with ML evaluation systems, including LLM-as-a-judge approaches
• Experience with containerization and orchestration (Kubernetes), infrastructure-as-code (Terraform)
• Background in building enterprise-grade internal tools and developer productivity platforms
• Experience with frontend technologies (React, Next.js) for full-stack AI product development
• Publications at top AI/ML venues a plus