Agentic AI Scientist — Multi‑Step Systems & LLM Orchestration

Expedia Group; Austin (TX); On-site; USD 112,000 - 157,000; Full time

Benefits offered by this job

Medical insurance

Paid time off

Travel discounts

Job summary

Expedia Group in Austin is seeking a senior AI systems engineer to design, build, and evaluate agentic AI systems, enabling autonomous agents for planning, tool use, and multi-agent collaboration.

You will research state-of-the-art architectures, integrate LLMs with external tools, and define evaluation frameworks to ensure reliability, latency, and safety in real-world tasks. This role offers impact across travel technology and optimization domains.

Qualifications

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or related field or equivalent experience.
• 2+ years of related industry experience.
• Experience designing and deploying agentic or multi‑step AI systems in production or research settings.
• Proficiency in Python and ML frameworks; experience with LLM APIs and orchestration libraries (LangChain, LlamaIndex).
• Experience integrating LLMs with external tools, APIs, and structured data sources.
• Understanding of prompt engineering techniques including chain-of-thought and few-shot prompting.

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 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, and unsafe tool use.
• Stay current with evolving agentic AI landscape, synthesizing research and industry developments to inform the team\'s technical direction.

Skills

Agentic AI

Python

LLM APIs

Prompt engineering

ML frameworks

API integration

Education

PhD

MS

BS

Tools

LangChain

LlamaIndex

Orchestration libs

Job description

Expedia Group in Austin is seeking a senior AI systems engineer to design, build, and evaluate agentic AI systems, enabling autonomous agents for planning, tool use, and multi-agent collaboration.

You will research state-of-the-art architectures, integrate LLMs with external tools, and define evaluation frameworks to ensure reliability, latency, and safety in real-world tasks. This role offers impact across travel technology and optimization domains.