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About the Role
We are building a fleet of specialized AI services that improve high-value human workflows across the company. As a Senior Software Engineer, Core AI, you will design, build, evaluate, and operate production-grade AI services and agents. You will own work end to end—from data and context design through tool use, application logic, evaluation, and production monitoring.
What You’ll Do:
- Build specialized AI services: design and implement task-specific services and agents, including data serialization, retrieval, memory where appropriate, tool integrations, and bounded multi-step reasoning.
- Define and evaluate quality: work with partners to make expected behavior explicit, write and maintain evals against representative examples, and use results to measure performance against expectations.
- Improve quality systematically: use evaluation findings, failure analysis, and production feedback to improve context and data, service logic, tools, and model behavior.
- Build for production: integrate tracing, observability, versioning, monitoring, reliability practices, and success metrics into the services you own.
- Run controlled experiments: compare models, data, and implementation approaches using repeatable benchmarks so improvements are attributable and reproducible.
- Partner on architecture: work with AI Architecture, AI Ops, and Platform teams to make services secure, reliable, cost-aware, and deployable at scale.
- Ship iteratively: move quickly from user problem to prototype to production, learning from real workflow outcomes.
What We’re Looking For:
- 5+ years of strong software engineering experience delivering production services or products, ideally at senior or staff level.
- Hands-on experience building AI/LLM-powered applications or agents with real users or operational use.
- Experience with evaluation methods for AI behavior: defining expected outcomes, building test sets or evals, tracking regressions, and acting on results.
- A data-first mindset: able to shape retrieval, context, and serialization to give a model the information needed for the task.
- Good judgment about tool use, autonomy, human review, failure handling, privacy, reliability, latency, and cost.
- A product-minded approach focused on solving specific workflow problems and measuring whether the solution works.
- Comfort learning tools and frameworks; experience with agent runtimes, model APIs, MCP, tracing, or evaluation tools is helpful.
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.
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: 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.
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.
Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.
Skills Required
- 5+ years of strong software engineering experience delivering production services or products
- Hands-on experience building AI or LLM-powered applications or agents used by real users or operational teams
- Experience defining expected AI outcomes, building test sets or evaluations, tracking regressions, and acting on results
- Ability to design retrieval, context, and data serialization for model tasks
- Judgment regarding tool use, autonomy, human review, failure handling, privacy, reliability, latency, and cost
- Product-minded approach focused on solving workflow problems and measuring outcomes
- Experience with agent runtimes, model APIs, MCP, tracing, or evaluation tools
What the Team is Saying
Navan Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is considered a strong point, with comments about solid plan options, provider networks, and support for families. The offering is portrayed as a reliable foundation of the total rewards package.
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Leave & Time Off Breadth — Flexible or unlimited vacation is positioned as a core benefit with broad time-off flexibility. The policy can be generous when workload and manager support align.
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Parental & Family Support — Paid parental leave for both birthing and non-birthing parents is described as a meaningful benefit. This support is highlighted alongside other family-friendly offerings.
Navan Insights
What We Do
Navan (Nasdaq: NAVN) is the leading all-in-one business travel, payments, and expense management platform that makes travel easy for frequent travelers. From finding flights and hotels to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com.
Why Work With Us
At Navan, we’re never satisfied with the status quo, and we know breakthrough ideas come from diverse perspectives. We are committed to cultivating a workplace that reflects the diversity of the customers we serve while fostering leadership and innovation.
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Navan Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In-person connections is the foundation of Navan, the connections forged through face-to-face interactions improve company culture and what we can achieve together. We operate on a hybrid working model, which we define as four days a week in-office.
