Synced from Greenhouse · 42d ago

AI Engineer

BrexSan Francisco, California, United StatesPosted Jun 25, 2026
AI EngineerSenior
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Mirrored from Brex's own Greenhouse careers system · refreshed hourly

$171k–$240k
Compensation
303
Other open Brex roles
42d ago
Posted
Greenhouse
Applicant system
Job descriptionReq 8606890002

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

AI at Brex

AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.

What you’ll do

You’ll be a technical owner for Brex’s external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with Brex through third-party assistants and platforms.

Over the next year, you’ll turn early integrations into first-class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at Brex’s most sophisticated customers. You’ll design how Brex data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time.

This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Own Brex's MCP Apps for OpenAI, Claude, Slack, and other embedders, including roadmap decisions across core and long-tail partners.
  • Define the technical, UX, and reliability standards for how Brex surfaces and operates within external AI assistant ecosystems.
  • Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third-party environments.
  • Build and operate production-grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints.
  • Partner cross-functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well-supported.
  • Serve as the center of excellence for reusable AI capabilities across Brex, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the Brex platform and across external ecosystem integrations.

Requirements

  • Experience building and owning production software, including systems that integrate with or depend on third-party platforms.
  • Demonstrated technical ownership for user-facing products with real external customers.
  • Deep experience with identity, authentication, and secure data access across system boundaries, including OAuth and role-based access control (RBAC) for permissions.
  • Proven ability to ship and operate reliable integrations with external APIs and clients outside your control.
  • Strong product judgment, written communication, and end-to-end ownership, including accountability for quality and launch readiness.

Bonus points

  • Experience publishing and maintaining apps or integrations in third-party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.).
  • Prior work on administrative or platform-side tooling for ecosystems.
  • Familiarity with conversational or agentic interfaces in production environments.
  • Experience building evaluations to measure and improve the quality, reliability, and safety of AI-powered features.

Compensation

The expected salary range for this role is $171,000 - $240,000 USD.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

View original posting on Greenhouse

What applying to Brex usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Brex can generally expect a structured process typical of this ATS. Applicants commonly begin with an online application and resume submission, followed by an initial recruiter screen if selected. The process may include multiple stages such as hiring manager conversations, skills-based assessments, and panel or team interviews relevant to the specific function, whether technical, sales, or operational. Take-home exercises or case studies are sometimes used for roles like engineering, design, or analytics. Communication is typically handled through automated updates within the platform, though response times vary by team and role volume. Candidates may also be asked to provide references or additional documentation later in the process. Overall, the experience tends to be organized, though specifics can differ by department and seniority level.

Based on publicly available information. LandEarly does not verify interview process details.

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