Senior Software Engineer, Operational AI

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.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Brex's AI strategy has three pillars: Product AI builds AI into the products our customers use, Corporate AI gives every employee AI tools to work faster, and Operational AI builds the AI that runs the company. The Operational AI team owns the AI systems and internal platforms that make Brex's operations AI-native, from onboarding and KYC automation to AI-powered customer support. We're a small team with a large surface area, and our work directly shapes how fast Brex can onboard, serve, and grow its customers. As a Senior Software Engineer on the team, you'll focus on Agents Platform, Brex's internal platform for building, evaluating, and running AI agents in production. It already powers critical automations in customer onboarding and AI tools for our sales and customer success teams. You'll own its technical direction, help it evolve from simple workflows into agents that take action, and make it the default way Brex ships AI into its operations.

Where you'll work

This role will be based in our São Paulo 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 currently require a minimum of 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.

• Own the technical direction and roadmap of Agents Platform, partnering with Operational AI leadership and the teams that build on it to decide what the platform should do next.
• Design and build new platform capabilities, including tool calling, multi-step agent loops, multi-turn and conversational execution, and secure access to internal Brex data and services.
• Evolve the evaluation and quality system, from datasets and labeling to run comparison and regression testing, so teams can measure and improve non-deterministic systems with production-grade rigor.
• Strengthen the reliability, security, and observability of systems in business-critical flows like customer onboarding, including durable async and batch execution, authorization, cost attribution, and incident response.

Bonus points

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.

• 5+ years of professional software engineering experience, with a track record of designing, building, and operating reliable production backend systems.
• Deep, hands-on experience using AI coding tools like Claude Code or Cursor in your daily work, with the judgment to ship faster without lowering the quality bar.
• Hands-on experience shipping LLM-powered systems to production, beyond prototypes: orchestrating model calls, enforcing structured outputs, and evaluating quality over time.
• Experience with distributed and asynchronous systems and the reliability concerns that come with them, such as retries, idempotency, backpressure, and observability.