Sr. Software Engineer, AI at Navan

<p>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.</p> <p><strong>What You’ll Do:</strong></p> <ul> <li><strong>Build AI-Powered Product Experiences: </strong>Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.</li> <li><strong>Develop Production AI Systems: </strong>Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.</li> <li><strong>Own Agent and Workflow Quality: </strong>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.</li> <li><strong>Integrate Across the Stack: </strong>Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.</li> <li><strong>Turn Data Into Personalization: </strong>Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.</li> <li><strong>Collaborate Cross-Functionally: </strong>Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.</li> <li><strong>Raise the Engineering Bar: </strong>Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.</li> </ul> <p><strong>What We’re Looking For:</strong></p> <ul> <li>6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.</li> <li>Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.</li> <li>Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.</li> <li>Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.</li> <li>Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.</li> <li>Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.</li> <li>Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.</li> <li>Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.</li> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.</li> </ul> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description">The posted pay range represents the&nbsp;anticipated&nbsp;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.<br><br>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.</div><div class="title">Pay Range</div><div class="pay-range"><span>$113,400</span><span class="divider">&mdash;</span><span>$252,000 USD</span></div></div></div><div class="content-conclusion"><p>&nbsp;</p> <p>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.&nbsp;</p> <p><strong>Human oversight:</strong>&nbsp;<span style="color: #000000; font-family: Arial, sans-serif;">Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.&nbsp;</span></p> <ul> <li> <p><strong>Your rights: </strong>If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email <a href="https://my.metaview.app/applications/opt-out?organization=15dd7e883f">here</a>. Your decision to do so will not affect how your candidacy is evaluated.&nbsp;</p> </li> </ul> <p>Please refer to our<a href="https://navan.com/candidate-privacy-notice"> Candidate Privacy Notice</a> for more information about our processing of personal data, and your rights.</p></div>