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About the Role

The Airfam Products team aims to enhance Airbnb employee productivity through a unified digital headquarters. You will join a cross-functional team focused on AI for Non-Developers, expanding AI productivity tools to all employees by building OneChat Agents, research capabilities, artifact creation tools, and task automation. Your work will be a force multiplier for the company, amplifying productivity across Airbnb's global 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.
Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency.
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 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 (Preferred).
Experience with AI agent frameworks (LangChain, LangGraph, or similar) and agentic development patterns (Preferred).
Experience integrating foundation model APIs (OpenAI, Anthropic/Claude, Google) (Preferred).
Familiarity with ML evaluation systems, including LLM-as-a-judge approaches (Preferred).
Experience with containerization and orchestration (Kubernetes), infrastructure-as-code (Terraform) (Preferred).
Background in building enterprise-grade internal tools and developer productivity platforms (Preferred).
Experience with frontend technologies (React, Next.js) for full-stack AI product development (Preferred).
Publications at top AI/ML venues (Preferred).

Skills

Python
TypeScript
Go
Java
Large Language Models (LLMs)
Fine-tuning
Prompt engineering
Embeddings
Retrieval-augmented generation (RAG)
Production ML systems
High availability
Low latency
Backend systems
Distributed systems
API design (REST, GraphQL)
Cloud infrastructure (AWS, GCP)
AI agent frameworks (LangChain, LangGraph)
Agentic development patterns
Foundation model APIs (OpenAI, Anthropic/Claude, Google)
ML evaluation systems
LLM-as-a-judge
Containerization (Kubernetes)
Orchestration (Kubernetes)
Infrastructure-as-code (Terraform)
Enterprise-grade internal tools
Developer productivity platforms
Frontend technologies (React, Next.js)

Location

US - Remote Eligible

Work Type

Remote

Experience Level

Senior
8+ years of software engineering experience

Education Level

BS in Computer Science, Engineering, or equivalent practical experience
Master's or PhD in Computer Science, Machine Learning, or related field (Preferred)

Salary/Compensations

$196,000—$227,000 USD

Benefits

Bonus
Equity
Benefits
Employee Travel Credits

About the Company

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.
Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Equal Opportunity

Airbnb is committed to working with the broadest talent pool possible.
We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.
All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process.
If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.