Drimva

Navan

Sr. Software Engineer, AI

$113K–$252K

New York, NY +1 · Senior · Full-time · Posted Aug 28, 2026

Location
New York, NY
New York, United States
Experience
6+ years of software engineering experience; meaningful hands-on AI, LLM, agent, workflow, or ML product experience.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.

About the job

Build AI-powered loyalty experiences that help travelers understand and manage loyalty programs through chat, wallet features, and personalized recommendations.

What you'll do

  • Design and develop agentic workflows and production LLM systems, including safeguards, evaluations, and monitoring.
  • Own agent quality through tests, adversarial evaluations, contracts, and safety metrics for loyalty data and other sensitive workflows.
  • Integrate frontend, backend, wallet APIs, chat, data services, and AI workflows to deliver personalized customer experiences.

What they ask for

  • 6+ years of software engineering experience building production systems, with hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
  • Experience building production agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants.
  • Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar stacks; experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.

Nice to have

  • Experience with travel, loyalty programs, personalization, fintech, or consumer data products.

Pay

$113,400 — $252,000 USD (pay range; whether base salary or total pay is not specified)

Tools

TypeScript/Node.js, Java, Python

AI focus

Build customer-facing agentic and LLM-powered loyalty experiences, including tool calling, structured outputs, safety guardrails, human confirmation, evaluations, monitoring, and personalization.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)