Navan Logo

Navan

Senior Software Engineer - Core AI

Sorry, this job was removed at 02:05 a.m. (PST) on Saturday, Mar 28, 2026
Easy Apply
Hybrid
2 Locations
113K-252K Annually
Easy Apply
Hybrid
2 Locations
113K-252K Annually

Similar Jobs at Navan

4 Hours Ago
Easy Apply
Hybrid
Palo Alto, CA, USA
Easy Apply
80K-177K Annually
Entry level
80K-177K Annually
Entry level
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
As a Backend Engineer on the Expense team, you'll design and implement API endpoints, optimize performance, collaborate with mentors, and ship innovative features.
Top Skills: Api DesignBackend ServicesDomain Object ModelingOrm Technologies
22 Hours Ago
Easy Apply
Hybrid
2 Locations
Easy Apply
32-43 Annually
Junior
32-43 Annually
Junior
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
The Account Management Associate supports Administrators' travel and expense needs, ensuring excellent customer experience and collaborating with teams to improve services. Responsibilities include managing customer accounts, tracking KPIs, providing feedback, and renewing contracts.
Top Skills: SaaS
22 Hours Ago
Easy Apply
Hybrid
2 Locations
Easy Apply
109K-145K Annually
Junior
109K-145K Annually
Junior
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
The Mid-Market Expense Launch Manager will implement the Navan Expense solution, partner with teams, and drive product adoption in the Mid-Market segment.
Top Skills: Erp SystemsExpense Management Software
About the Role

We're seeking a Senior Software Engineer to build our Composable AI Microservice Architecture—a fleet of hyper-specialized AI services. You will design and develop intelligent, production-grade agents that transform raw LLMs into task-specific services with high agency and deterministic precision. This is a high-velocity building role where you'll ship production code that augments high-leverage human workflows across the company.

What You'll Do
  • Develop specialized AI microservices. Design and build the core logic for task-specific AI agents using AWS Bedrock Agents, Google ADK, or Anthropic Claude SDK, owning the full implementation from data serialization, memory to agentic tool-use, MCP (Model Context Protocol) gateway integrations, and multi-step reasoning.
  • Drive optimization-first development. Improve service quality through a rigorous hierarchy: context engineering and skills scripting for optimal knowledge delivery, logic and tooling design for real-world interaction, and prompt and behavioral tuning for specific, repeatable behaviors.
  • Build for the fleet. Ensure every service you build is "Core AI Ready" by fully integrating with observability and evals frameworks like LangSmith, Braintrust for agent tracing, drift detection, versioning, and success metrics.
  • Lead systemic experimentation. Design and run controlled experiments across different models and datasets using evals frameworks and benchmarking tools to prove that your improvements are attributable and reproducible.
  • Collaborate on architecture. Work closely with AI Ops to ensure your services are deployable at scale using autonomous agent runtimes, agent sandboxing (E2B, AWS Lambda), and AWS AgentCore infrastructure, and with the Platform team to deliver "Demo to Prod" leverage.
What We're Looking For
  • Product-minded AI building experience. You are a Senior or Staff-level engineer who loves building features that people actually use, understanding that valuable AI solves specific human workflow problems.
  • Data-first engineering mindset. You are skilled at data engineering and serialization, knowing that a well-formatted context and the right data are more valuable than endless prompt tweaking.
  • Agentic systems specialization. You have experience building agentic flows using frameworks like AWS Agent Core, Google Vertex ADK, or custom autonomous agent runtimes, and know how to balance agency with precision.
  • Experimentation and evaluation expertise. You trust benchmarks over intuition and are comfortable building observability pipelines and writing custom evals to measure agent performance, reliability, and success metrics.
  • High-velocity shipping ability. You thrive in production environments where success is measured by the number of high-leverage human workflows you successfully augment, not research papers published.

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$252,000 USD
HQ

Navan Palo Alto, California, USA Office

3045 Park Blvd, Palo Alto, CA, United States, 94304

Navan San Francisco, California, USA Office

181 Fremont St. 23rd Floor , San Francisco, CA, United States, 94105

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account