Agentic AI Scientist II: Build Autonomous Travel Assistants

Expedia, Inc.; Austin (TX); On-site; USD 119,000 - 167,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Travel reimbursement

Job summary

Expedia Group in Austin seeks an AI specialist to design and deploy agentic, multi-step AI systems that help travelers plan, compare, and book. You will integrate LLMs with tools, APIs, databases, and code execution environments to enable real-world task completion and measurable reliability.

Collaborating with product, engineering, and research teams, you’ll define architectures, implement advanced prompting techniques, and evaluate systems across production scenarios to deliver

Qualifications

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
• 2+ years of related industry experience
• Demonstrated experience designing and deploying agentic or multi-step AI systems in production or research settings
• 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
• 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

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

Skills

Python

Machine Learning

LLM APIs

Evaluation frameworks

Prompt engineering

Production ML

Education

MS/BS/PhD in CS or related field

Tools

PyTorch

TensorFlow

JAX

LangChain

LLM Tooling

Job description

Expedia Group in Austin seeks an AI specialist to design and deploy agentic, multi-step AI systems that help travelers plan, compare, and book. You will integrate LLMs with tools, APIs, databases, and code execution environments to enable real-world task completion and measurable reliability.

Collaborating with product, engineering, and research teams, you’ll define architectures, implement advanced prompting techniques, and evaluate systems across production scenarios to deliver