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Senior AI Software Engineer

Navan

Skills

Required

  • AI / LLM / agent / workflow / ML-powered
  • workflows
  • distributed systems
  • APIs
  • async workflows
  • caching
  • observability
  • production debugging
  • AI safety patterns
  • guardrails
  • TypeScript / Node.js
  • Java
  • Python

Join Navan, a company dedicated to revolutionizing travel experiences through AI and personalization. As a Senior AI Software Engineer on the Loyalty Wallet team, you will design and develop AI-powered product experiences, build reliable production AI systems, and collaborate cross-functionally to deliver polished customer experiences. You will also have the opportunity to raise the engineering bar by championing maintainable code, strong tests, and operational ownership.

USD 113,400 - 252,000

Responsibilities

  • Concevoir et développer des flux de travail agentiques qui aident les utilisateurs à visualiser, comprendre, connecter et gérer leurs programmes de fidélité.
  • Construire des systèmes d'IA fiables avec des sorties structurées, des appels d'outils, des garde-fous, des confirmations humaines, des évaluations et une surveillance.
  • Créer et maintenir des tests de scénario, des évaluations adversariales, des contrats de prompt/outil et des métriques de qualité qui garantissent que les agents se comportent de manière sécurisée.
  • Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release

Requirements

  • Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus
  • Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging
  • Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience
  • 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products
  • Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production
  • Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences
  • Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks

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