Sr. Software Engineer, AI

Navan; New York (NY); On-site; USD 113,000 - 252,000; Full time

Job summary

Navan is seeking a Senior Software Engineer, AI on the Loyalty Wallet team to build agentic product experiences that understand loyalty programs and surface actionable insights. You will design AI-powered workflows, integrate across frontend, backend, and AI orchestration layers, and ship measurable customer experiences while maintaining safety, observability, and quality through tests and tooling.

Strong ownership and collaboration with product, design, data, and platform teams are essential to

Qualifications

• 6+ years of software engineering experience in production systems.
• Experience with AI, LLMs, agents, workflows, or ML-powered products.
• Strong TS/Node.js, Java, Python or similar stacks.
• Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
• Knowledge of AI safety patterns including guardrails and HITL.

Responsibilities

• Design and develop agentic workflows to help users view and manage loyalty programs through chats, wallets, and personalized recommendations.
• Build production AI systems with LLM-powered flows, tool calling, guardrails, and monitoring.
• Own agent and workflow quality through tests, evals, and metrics for safe handling of loyalty data and PII.
• Integrate across frontend, backend, and AI orchestration layers including wallet APIs and streaming chat.
• Turn data into personalization by transforming loyalty balances, tier progress, and trip context into actions.
• Collaborate with product, design, backend, data, and platform teams to ship measurable customer experiences.
• Raise engineering bar with maintainable code, tests, observability, and documentation.

Skills

AI/LLM development

Agent systems

TypeScript/Node.js

Python/Java

Distributed systems

Production debugging

Observability

AI safety patterns

Education

Bachelor's or Master's in CS/Engineering or equivalent

Job description

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.

What We’re Looking For

• 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.
• Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
• 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.
• Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
• Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
• Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands‑on experience.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range: $113,400 USD - $252,000 USD

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight:

• Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

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