8 days ago
Responsibilities
- Design and build reliable backend services, including system design, API design, data modeling, and reusable service integrations.
- Develop and ship AI/ML- and LLM-enabled backend capabilities such as agent and tool integrations, retrieval, and automation workflows.
- Use AI coding assistants and agentic workflows for design, coding, testing, refactoring, reviews, debugging, and incident triage while validating outputs.
- Define responsible AI practices covering prompt and context management, evaluations, guardrails, privacy, and security compliance.
- Implement production code with automated testing, observability, performance, and operational excellence.
- Own the full lifecycle of services and features, including deployment, monitoring, troubleshooting, and incident resolution.
- Use metrics, experimentation, feature flags, A/B testing, and analytics to assess product and engineering impact.
- Collaborate with product, design, and partner engineering teams to translate requirements into robust backend solutions.
- Mentor engineers on safe and effective AI tooling and drive team-wide adoption practices.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 8 years of professional experience building and operating production backend services in a team environment.
- Demonstrated ownership across service or feature design, implementation, quality, deployment, and operational support.
- Strong production software engineering fundamentals, including data structures, algorithms, system design, API design, and data modeling.
- Demonstrable hands-on proficiency with AI-assisted development, including understanding where AI tools succeed and fail.
- Hands-on experience integrating AI/ML or LLM capabilities into production systems, such as model APIs, agent or tool integrations, or ML-backed services.
- Experience with multi-service backend architectures, structured APIs, reliable data flows, performance tuning, resilience hardening, and reliability engineering is preferred.
- Experience with instrumentation, logging, metrics, alerting, on-call participation, and incident response is preferred.
- Experience with LLM application patterns, evaluation frameworks, AI observability, guardrails, prompt-injection mitigation, PII handling, and human-in-the-loop controls is preferred.
- Experience driving AI tooling adoption across a team and measuring its impact is preferred.
Benefits
- Medical, dental, and vision coverage.
- Paid time off, an Employee Assistance Program, wellness reimbursement, and travel reimbursement.
- Travel discounts and International Airlines Travel Agent Network membership.
- The position is based in Seattle.
Categories
About Expedia
Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.