Top Tech Jobs & Startup Jobs

Design, build, and evaluate multi-step agentic AI systems (autonomous agents, tool use, memory, multi-agent collaboration). Integrate LLMs with tools/APIs, define evaluation frameworks, mitigate agent-specific risks, and collaborate to deliver production-grade solutions while mentoring junior team members.

Manage onboarding and ongoing maintenance for API-connected lodging partners. Collect and validate property data, configure products and settings, support merchandising campaigns, analyze operational metrics using advanced Excel, resolve partner issues, and coordinate updates across internal and external stakeholders. The role also involves process improvement, performance reporting, and ensuring accurate, competitive property listings.

Design and operate scalable Kotlin or Java backend services and React interfaces supporting high-throughput advertising systems. Build microservices, APIs, event-driven systems, real-time data flows, and data-intensive search capabilities using technologies including Kafka, Redis, Elasticsearch, AWS, Docker, and Kubernetes. Drive architecture, reliability, CI/CD, troubleshooting, and performance optimization while collaborating cross-functionally and mentoring junior engineers.

Leads Expedia Group’s data engineering, software engineering, AI, and innovation capabilities for Marketing Automation and MarTech. Sets enterprise technology strategy, oversees scalable data platforms, pipelines, APIs, integrations, governance, security, observability, and responsible AI foundations. Builds high-performing engineering teams, manages modernization and platform investments, enables analytics and experimentation, and partners with senior stakeholders to improve customer engagement, operational efficiency, and technology delivery.

Leads the discovery, design, prototyping, deployment, adoption, and continuous improvement of AI solutions across Expedia Group. Partners with business and executive leaders to translate ambiguous challenges into measurable outcomes, establishes scalable AI and software engineering standards, evaluates models and architectures, develops reusable frameworks, and coaches senior engineers and emerging technical leaders. Ensures solutions address reliability, security, privacy, cost, observability, evaluation, responsible AI, and sustained business value.

Leads the Agent Tools product and technology organization across Expedia Group channels. Owns the multi-year roadmap, Salesforce Service Cloud migration, AI-assisted service capabilities, investment prioritization, operational metrics, and delivery risk. Builds and develops distributed product and engineering teams while aligning senior stakeholders across Product, Technology, and Operations to improve service quality, efficiency, self-service, and customer outcomes.

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and budget enforcement. Integrate ML signals, collaborate with product and data teams, improve observability and reliability, lead design discussions, and mentor junior engineers.

Build and operate high-throughput backend services, APIs, pricing engines, and data models for Expedia’s insurance and fintech products. Lead cross-team initiatives across pricing, checkout, booking, and servicing systems; launch zero-to-one products; improve scalability, reliability, and performance; troubleshoot distributed systems; use AI-assisted development tools; and participate in quarterly on-call support.

Lead enterprise AI engagements from opportunity discovery through production deployment, adoption, measurement, and continuous improvement. Design scalable AI systems, evaluate models and agentic architectures, establish engineering and responsible AI standards, and create reusable frameworks. Partner with executives and business teams, translate ambiguous problems into measurable outcomes, influence technical direction, and coach senior engineers and emerging technical leaders.

Design, build, and evaluate multi-step agentic AI systems and orchestration frameworks integrating LLMs with tools, APIs, and data. Define evaluation and safety frameworks, mitigate agent-specific risks, collaborate with product and engineering, and mentor junior ML staff to deliver production-grade solutions.