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About the Role
We are looking for a Senior Full Stack Agentic AI Engineer to help build the next generation of proactive travel-planning experiences at Layla. You will work across agent orchestration, backend services, data and retrieval systems, and user-facing product experiences. You will help turn emerging agentic capabilities into reliable, understandable, and useful traveler workflows. This is a high-autonomy, broad-scope senior individual contributor role with the opportunity to connect product intent, agent architecture, full-stack implementation, and production outcomes. The role has shared ownership: you will help shape direction and own meaningful work while partnering closely across Product, Design, Data, and Engineering rather than working in isolation.
Responsibilities
- Design, build, and operate agentic AI experiences that support travel discovery, itinerary planning, personalization, and booking-related workflows.
- Develop reliable agent orchestration patterns, including planning, tool use, routing, state management, memory, retries, guardrails, and human confirmation where appropriate.
- Build and evolve backend services, APIs, data models, integrations, and event-driven workflows that connect agent experiences to Expedia Group and Layla capabilities.
- Build user-facing experiences that make AI behavior clear, useful, and actionable across web and other relevant product surfaces.
- Integrate retrieval, knowledge, and recommendation capabilities using appropriate data contracts, embeddings, search, ranking, and grounding strategies.
- Establish evaluation and observability practices for agentic systems, including quality, task completion, latency, cost, safety, failure modes, and user impact.
- Take shared ownership of a meaningful product surface, from framing the problem and exploring solutions through implementation, launch, measurement, and iteration.
- Translate ambiguous product opportunities into thin, testable increments and ship quickly while preserving operational and architectural quality.
- Partner closely with Product, Design, Data, and Engineering to shape product direction, define success metrics, and connect technical decisions to traveler outcomes.
- Apply strong software engineering practices across testing, CI/CD, observability, security, incident response, and production support.
- Use AI-assisted engineering tools thoughtfully to explore designs, accelerate implementation, improve test coverage, and investigate production behavior — while retaining full accountability for the code and systems shipped.
- Mentor teammates and raise the quality bar through design reviews, code reviews, documentation, reusable patterns, and hands-on technical leadership.
- Ship production agentic workflows that solve real traveler problems from inspiration through itinerary creation and, where applicable, booking at Expedia Group scale.
- Improve the reliability and observability of multi-step AI workflows so the team can understand quality, failure modes, latency, and cost.
- Establish reusable patterns for agent tools, contracts, evaluation, guardrails, and production operations.
- Partner with Product and Design to turn traveler feedback and experimentation results into better AI experiences.
- Increase the team’s ability to deliver safely and quickly through clear architecture, strong engineering practices, and practical use of AI-assisted development.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.
- 6+ years of professional software engineering experience, including experience delivering production systems end to end.
- Demonstrated experience building and operating full-stack applications, with meaningful depth in backend services and modern web or product-facing interfaces.
- Professional experience integrating LLMs or AI/ML capabilities into production products, workflows, or platforms.
- Experience with agentic patterns such as tool-using agents, multi-step workflows, orchestration, RAG, function calling, structured outputs, or human-in-the-loop systems.
- Strong programming ability in at least one backend language such as Python, Java, Kotlin, Go, or TypeScript, plus experience contributing to a modern frontend stack.
- Experience designing APIs, services, data models, integrations, automated tests, and production monitoring.
- Ability to communicate technical tradeoffs clearly and collaborate effectively with product, design, data, and engineering partners.
- Experience building AI agents or assistants that take actions through tools, APIs, or business workflows rather than only generating conversational responses.
- Experience with agent orchestration or evaluation frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, OpenAI or Anthropic tooling, or comparable systems.
- Experience with retrieval and knowledge systems, including vector search, hybrid search, embeddings, reranking, grounding, and data-quality controls.
- Experience with streaming or real-time AI interactions, conversational interfaces, or multi-step user experiences.
- Experience with React, TypeScript, Next.js, GraphQL, or comparable frontend technologies.
- Experience with Python, FastAPI, Java/Kotlin services, REST or GraphQL APIs, event-driven architecture, and cloud-native systems.
- Experience designing agent evaluation frameworks, offline test sets, online monitoring, quality rubrics, or experimentation programs.
- Experience building systems with strong safety, privacy, security, reliability, and responsible-AI considerations.
- Experience in travel, commerce, marketplace, recommendations, search, personalization, or other high-scale consumer products.
- Experience using AI coding assistants or software-engineering agents in day-to-day development, including examples of validating, correcting, and hardening generated output.
- Experience working in a startup, incubation, or rapidly evolving product environment where priorities and requirements change quickly.
Skills
- Agent orchestration
- Backend services
- Data and retrieval systems
- User-facing product experiences
- AI-assisted development
- Python
- Java
- Kotlin
- Go
- TypeScript
- React
- Next.js
- GraphQL
- FastAPI
- REST APIs
- Event-driven architecture
- Cloud-native systems
- Vector search
- Hybrid search
- Embeddings
- Reranking
- Grounding
- Data-quality controls
- Streaming
- Real-time AI interactions
- Conversational interfaces
- Multi-step user experiences
- Agentic patterns
- Tool-using agents
- Multi-step workflows
- Orchestration
- RAG
- Function calling
- Structured outputs
- Human-in-the-loop systems
- LangGraph
- LangChain
- LlamaIndex
- Semantic Kernel
- OpenAI tooling
- Anthropic tooling
- Testing
- CI/CD
- Observability
- Security
- Incident response
- Production support
- AI coding assistants
Location
- Seattle
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
Education Level
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
Salary/Compensations
- $184,500.00 - $258,000.00
- Potential to increase pay up to $295,000.00 based on performance
Benefits
- Medical/dental/vision
- Paid time off
- Employee Assistance Program
- Wellness & travel reimbursement
- Travel discounts
- International Airlines Travel Agent (IATAN) membership
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- We are a global travel company powered by passionate people, trusted partnerships, and leading technology.
- We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
- Layla is an AI-native travel-planning and booking company within Expedia Group’s Product organization.
- The team is building conversational experiences that help travelers move from inspiration to a complete, bookable itinerary across flights, hotels, activities, and day-by-day plans.
- The team is small, senior, and startup-paced.
- Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
- Across our brands and business, we help travelers explore the world with confidence and ease.
Equal Opportunity
- Expedia is committed to creating an inclusive work environment with a diverse workforce.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
- This employer participates in E-Verify.
- The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.