Software Engineer, Forward Deployed Agent Builder

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.

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.

What you'll do

• We're building AI agents to automate and augment internal functions at Brex, and we're looking for a hands-on builder to help us do it.
• You'll embed with teams across the company to understand how they actually work, then design, build, and ship agents that deliver real outcomes.
• You'll work on top of existing models and frameworks, wiring together tools, MCPs, and internal systems into agentic workflows.
• This is a technical role where you'll spend most of your time building, shipping, and iterating alongside the people whose work you're automating.

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 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!

Responsibilities

• Embed with partner teams to deeply understand workflows, including shadowing and learning different job functions.
• Scope, design, and deploy agents that take over real workflows across internal orgs.
• Integrate agents with internal systems, APIs, and data sources.
• Define evaluation frameworks, success metrics, and feedback loops to measure and improve agent performance.
• Build shared tooling and contribute to playbooks that accelerate deployments, while owning reliability, adoption, and business impact.

Requirements

• 4+ years in engineering, technical product/program management, applied AI, or a similar technical role, with a track record of shipping AI/automation systems to production.
• Hands-on experience building with LLMs, agent frameworks, and tool-use patterns (e.g., MCP, function calling, RAG) across the full stack (data, APIs, orchestration, product).
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design.
• Strong ability to decompose human workflows into scalable, agentic systems, grounded in a deep curiosity for how people work.
• High ownership and cross-functional influence, with the ability to quickly build trust across teams and seniority levels.

Bonus points

• Experience automating back-office functions rather than just customer-facing AI features.
• Experience with OpenClaw, Hermes, or other general-purpose agent harnesses.

Compensation:

• The expected salary range for this role is $152,000 - $240,000.
• 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.

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.