Senior Agentic AI Scientist: LLMs & Multi-Agent Systems

Expedia, Inc.; Seattle (WA); On-site; USD 224,000 - 314,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision care

Paid time off

Employee assistance program

Wellness reimbursement

Travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group seeks a senior machine learning engineer to join the Traveler Discovery & Planning team in Seattle or San Jose. You will design and deploy multi-step agentic AI systems, integrate LLMs with tools and data sources, and work with product and research teams to deliver production-grade solutions.

You will mentor engineers, advance state-of-the-art agent architectures, and help shape evaluation frameworks for reliability, latency, and safety.

Qualifications

• BS in Computer Science, ML, Statistics, Engineering, or equivalent professional experience.

Responsibilities

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration.
• Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
• Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery.
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion.
• Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios.
• Lead collaboration with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions.
• Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use.
• Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction.
• Mentor senior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology

Skills

Python

ML frameworks

LLM APIs

LangChain / LlamaIndex

Prompt engineering

Experimentation

Education

BS in CS or related field

10+ years experience

Tools

LangChain

LlamaIndex

APIs integration

Job description

Expedia Group seeks a senior machine learning engineer to join the Traveler Discovery & Planning team in Seattle or San Jose. You will design and deploy multi-step agentic AI systems, integrate LLMs with tools and data sources, and work with product and research teams to deliver production-grade solutions.

You will mentor engineers, advance state-of-the-art agent architectures, and help shape evaluation frameworks for reliability, latency, and safety.