Expedia Group is looking to enhance its search ranking and recommendations for travel products (Flights, Cars, Packages, Activities) and optimize traveler interactions through advanced AI solutions, including Generative AI and Agentic AI, to drive loyalty and traveler satisfaction.
Requirements
- Expertise with Python & AI libraries/frameworks such as Pytorch, TensorFlow, LangChain, LlamaIndex, HuggingFace
- Proven ability to build, deploy, and maintain AI projects in production environments
- Strong experience with LLM orchestration, prompt engineering, RAG pipelines
- 2+ years experience as a technical lead of Agentic AI projects
- Experience with ranking & recommendation systems
- Experience building or integrating MCP servers for tool exposure
- Familiarity with multi-agent/hierarchical agent systems
Responsibilities
- Enhance our recommendations across both agentic & traditional search placements
- Design and implement agentic AI systems and define best practices for the team
- Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration
- Lead end-to-end agent development lifecycles, including prompt engineering, RAG, evaluation, deployment, and monitoring
- Utilize MCP for enterprise data/tool connectivity
- Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities
- Stay abreast of developments in machine learning & AI via publications and conferences
Other
- Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises.
- Bachelor's, Master’s, or PhD degree in a quantitative field
- 6+ years of industry experience as an AI Engineer or similar role
- Publications in top-tier ML conferences or journals
- Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.