Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Sep 9, 2026. Navan scores B on the Alion truth index.
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.
Missions
- 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.
Profil recherché
- 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
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release
- 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

