Staff Full Stack Engineer - Edge

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 Staff 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.

• 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

• Backend Experience: At least 8 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

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

• Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.