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Senior AI Software Engineer

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Onsite

Senior AI Software Engineer

Navan

Senior AI Software Engineer

Skills

NodeTypescriptPythonJavaMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Salary:

$113,400 – $252,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

9 September 2026

What they need


  • As a Senior Software Engineer, AI on the Loyalty Wallet team, you’ll build agentic product experiences that understand a traveler’s loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge
  • Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you’ll build agentic product experiences that understand a traveler’s loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge
  • What You’ll Do:
  • Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations
  • Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases
  • Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests
  • Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows
  • Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions
  • Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences
  • Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership

Benefits

  • Parental leave
  • Commuter benefits
  • Healthcare
  • Flexible Vacation
  • Health and Wellness
  • Fuel for Connection
  • Pet Friendly
  • IATAN (travel-related discounts)
  • 401k (retirement plan)
  • Connectivity Allowance
  • Learning & Development- 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

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