Agentic AI Scientist II

Expedia

San Jose (CA)

On-site

USD 123,000 - 196,000

Full time

14 days+
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Benefits offered by this job

Medical coverage
Travel discounts
Wellness programs

Job summary

Expedia Group in San Jose, CA is seeking a senior AI systems engineer to design and deploy multi-step agentic AI solutions that assist travelers and agents. You will collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic systems.

You will work with state-of-the-art architectures, integrate LLMs with tools and data sources, evaluate reliability and latency, and address safety concerns.

Qualifications

  • PhD, MS, or BS in Computer Science, ML, 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.
  • Experience integrating LLMs with external tools, APIs, and structured data sources.
  • Understanding of prompt engineering techniques including chain-of-thought and few-shot prompting.
  • Experience defining evaluation frameworks for ML systems and monitoring production.

Responsibilities

  • Design, build, and evaluate multi-step agentic AI systems.
  • Research and implement state-of-the-art agentic architectures.
  • Develop and maintain agent orchestration frameworks.
  • Integrate LLMs with external tools and data sources.
  • Define evaluation frameworks for reliability, latency, cost, and safety.
  • Collaborate with product, engineering, and research teams.

Skills

Agentic AI systems
Python
ML frameworks
LLM APIs

Education

CS/ML degree

Tools

LangChain
LlamaIndex

Job description

Expedia Group in San Jose, CA is seeking a senior AI systems engineer to design and deploy multi-step agentic AI solutions that assist travelers and agents. You will collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic systems.

You will work with state-of-the-art architectures, integrate LLMs with tools and data sources, evaluate reliability and latency, and address safety concerns.

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