Senior Full Stack Engineer - Edge

About the Role

We believe “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going. We are looking for a passionate Senior Full-Stack Engineer to lead, design and develop core product features and services that power our app used by thousands of travelers on a daily basis. You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them.

What You'll Do

• End-to-End AI Feature Ownership: Be the Subject Matter Expert of the domain under ownership. Take full ownership of AI features using multi-agent architectures, from LLM orchestration, tool integration, and schema design to rich React/TypeScript conversational components
• AI Resiliency & Observability: Implement production AI monitoring, evaluation loops (evals), distributed tracing, and safety guardrails to ensure reliable, high-quality conversational responses
• System Design: Design, build and evolve the core backend and frontend of our platform in a scalable and reliable way

• Cross-Functional Collaboration: Partner closely with Product Management, Product Designers, Security, and SRE teams to rapidly iterate on high-impact products

• Engineering Best Practices: Champion clean code principles, write technical design documents, conduct code reviews, and drive architectural consistency.
• Make an impact: Work with the leadership to identify, plan, and execute long-term vision

What We're Looking For

• Backend Experience: At least 5 years of professional software engineering experience building complex, enterprise-grade applications using modern programming languages (e.g., Java, Python, Node.js, or Go)
• Frontend Experience: At least 2 years of experience demonstrating proficiency with modern frontend frameworks (React or Angular), TypeScript, and web platform fundamentals
• AI Systems Expertise: Using AI coding tools natively as part of development lifecycle. Hands-on experience integrating LLMs, AI agents, or natural language interfaces into production systems
• Microservice Architecture: Strong foundation in distributed microservices, REST/gRPC APIs, event streams (Kafka), cloud infrastructure (AWS)
• Product Mindset & Ownership: Strong product mindset, customer-first approach, and a high sense of ownership driving initiatives end-to-end
• Team Player: Team player with strong communication skills and ability to thrive in a fast-paced environment