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About the Role
Join a team focused on Agentic Experiences, revolutionizing traveler experiences through autonomous, intelligent agent systems. Your work will shape the future of travel assistance and directly impact millions of users worldwide, building foundational systems in a high-impact domain backed by Expedia’s AI-first vision.
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
- Collaborate closely 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 junior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology
Requirements
- 8+ years of related industry experience
- Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
- Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
- Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
- Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring
Skills
- Python
- ML frameworks (PyTorch, TensorFlow, or JAX)
- LLM APIs
- Orchestration libraries (e.g., LangChain, LlamaIndex)
- Prompt engineering techniques (chain-of-thought, few-shot prompting, structured output generation)
- ML system evaluation frameworks
Location
- San Jose
- Seattle
- Austin
Work Type
- Full-time
Experience Level
- 8+ years of related industry experience
Education Level
- PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
Salary/Compensations
- San Jose: $187,000.00 - $261,500.00 (potential to increase up to $299,000.00)
- Seattle: $173,000.00 - $242,500.00 (potential to increase up to $277,000.00)
- Austin: $173,000.00 - $242,500.00 (potential to increase up to $277,000.00)
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Employee Assistance Program
- Wellness and travel reimbursement
- Travel discounts
- International Airlines Travel Agent Network (IATAN) membership
About the Company
- Expedia Group helps travelers explore the world with confidence and ease through its consumer brands (Expedia, Hotels.com, Vrbo), B2B travel business, and travel advertising offerings.
- Expedia Technology teams partner with Product teams to create innovative products, services, and tools for high-quality traveler, partner, and employee experiences.
- A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
- This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.