Senior Software Development Engineer - GenAI

Introduction to the Team

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Senior Software Developer role is part of the GenAI Platform team. The GenAI Platform team builds and operates Expedia Group's shared generative AI platform - tooling, services, and guardrails - that enable product and ML teams to safely experiment with, deploy, and scale GenAI-powered experiences across our brands.

You will lead the design, delivery, and evolution of scalable GenAI services and multi-agent infrastructure that power secure, observable GenAI capabilities across Expedia Group.

By shaping multi-agent platform architecture, codifying guardrails and best practices, and partnering closely with product and domain engineering teams, you will accelerate how internal teams build, integrate, and safely operate AI-enabled experiences for travelers and partners at global scale.

In this role, you will

• Drive end-to-end system design, including low-level design (LLD), API contracts, and data modeling, aligned with Expedia's architectural standards, engineering best practices, and long-term technical vision.
• Collaborate across geographically distributed teams, bringing clarity to technical decisions, ownership, and dependencies. Partner with use-case teams to understand their requirements and support adoption of platform capabilities.
• Own delivery from design through implementation, release, and production operations, ensuring high engineering quality through testing, security, observability, and operational readiness. Define and track metrics for reliability, performance, adoption, and operating cost.
• Build with a platform mindset, creating reusable, extensible, and self-service capabilities rather than one-off solutions. Balance consistent interfaces and sensible defaults with flexibility for workload-specific needs.
• Partner with the AI Registry team to define and implement grading standards for AI assets, including AI agents, MCP servers, and skills, with clear criteria for quality, safety, reliability, and production readiness.
• Work closely with the LLM Inference team to design and deliver intelligent routing patterns, open-weight model deployments, and fine-tuning pipelines, balancing model quality, latency, reliability, and cost.

Minimum Qualifications

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 8+ years of relevant professional experience, including building and operating backend services and APIs with end-to-end ownership from design through deployment and ongoing operational support.
• Proven proficiency in Python and experience developing production-grade web services using FastAPI or similar modern frameworks (such as Flask, Django, or other async service frameworks), with solid understanding of system design, API design, and data modeling.
• Experience building and running backend APIs in public or hybrid cloud environments, with hands-on exposure to core cloud services (AWS preferred) and at least one data store technology (relational, NoSQL, or search), such as Aurora PostgreSQL or Elasticsearch.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including exposure to LLM-powered capabilities, embeddings, or RAG patterns, or demonstrated ability to ramp up quickly using internal GenAI Platform tools and documentation.

Preferred Qualifications

• Deep experience building and operating Python-based backend APIs at scale on AWS or similar cloud providers, including performance tuning, resilience patterns, and advanced API and data modeling for high-traffic or multi-tenant services.
• Hands-on experience with RAG and vector store tooling (for example, LangChain, LlamaIndex, LangGraph) and evaluation or observability frameworks (such as LangSmith or Langfuse), including safely integrating and operating AI/ML-enabled solutions that improve outcomes.
• Experience integrating and optimizing LLM-powered systems end to end, including prompt and retrieval design, embeddings management, Elasticsearch vector search, Aurora PostgreSQL schemas, and platform-level guardrails such as auth, quota, and evaluation hooks.
• Background building internal platforms, SDKs, or shared services adopted by multiple product teams, including clear documentation, paved road patterns, and close collaboration with cross-functional partners (product management, applied science, and engineering).
• Experience designing or implementing workflow and agent orchestration-based solutions (for example, using n8n, Flowise, or similar) to build multi-tool or multi-agent GenAI applications, and familiarity with AI-driven platform architectures and safety-by-design practices.

Additional information

The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Pay and benefits

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.