We are seeking a Senior Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What You’ll Do
• Design and develop scalable, high-performance backend services and APIs.
• Implement integrations with AI platforms and services.
• Work with AI specialists to translate AI capabilities into production-ready features.
• Ensure high reliability, performance, and security of AI-powered systems.
• Collaborate with product and engineering teams to gather requirements and deliver solutions.
What We’re Looking for:
• 5+ years of professional backend engineering experience.
• Strong proficiency in at least one backend programming language (Java etc).
• Experience building and maintaining production-grade APIs and microservices.
• Solid understanding of distributed systems, data structures, and algorithms.
• Experience with SQL and NoSQL databases.
• Track record of delivering consumer-facing products at scale.
• Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
• Familiarity with LLMs, RAG, or conversational AI.
• Knowledge of vector databases and embedding technologies.
• Experience with cloud platforms (AWS, GCP, Azure).
• Understanding of AI/ML concepts and implementation patterns.
Skills Required
- 5+ years of professional backend engineering experience
- Strong proficiency in at least one backend programming language
- Experience building and maintaining production-grade APIs and microservices
- Solid understanding of distributed systems, data structures, and algorithms
- Experience with SQL and NoSQL databases
- Track record of delivering consumer-facing products at scale
- Experience with AI/ML platforms and services
- Familiarity with LLMs, RAG, or conversational AI
- Knowledge of vector databases and embedding technologies
- Experience with cloud platforms (AWS, GCP, Azure)
- Understanding of AI/ML concepts and implementation patterns
What the Team is Saying
Navan Compensation & Benefits Highlights
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Fair & Transparent Compensation — Pay aligns with mid‑ to upper‑market in core engineering and GTM roles, with competitive cash, equity, and bonus plans. Defined pay bands and commission tiers provide clarity on how earnings are structured.
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Leave & Time Off Breadth — Flexible/unlimited PTO is part of the package alongside paid parental leave durations for birthing and non‑birthing parents. Time‑off policies are positioned as broad and supportive across the company.
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Wellbeing & Lifestyle Benefits — Travel‑centric perks (IATAN access and discounted personal travel) combine with connectivity/home‑office stipends, commuter benefits, in‑office meals/snacks, and pet insurance. Access to Headspace supports mental‑health resources.
Navan Insights
What We Do
Navan (Nasdaq: NAVN) is the leading all-in-one business travel, payments, and expense management platform that makes travel easy for frequent travelers. From finding flights and hotels to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.
Why Work With Us
At Navan, we’re never satisfied with the status quo, and we know breakthrough ideas come from diverse perspectives. We are committed to cultivating a workplace that reflects the diversity of the customers we serve while fostering leadership and innovation.
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Navan Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In-person connections is the foundation of Navan, the connections forged through face-to-face interactions improve company culture and what we can achieve together. We operate on a hybrid working model, which we define as four days a week in-office.
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