Forward-Deployed AI Agent Builder — Software Engineer

Brex; California (MO); Hybrid; USD 152,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Fully remote up to 4 weeks/year

San Francisco office

Job summary

Brex is seeking an engineering role focused on building AI agents to automate internal workflows. You will embed with teams across Brex to design, build, and ship agentic solutions that deliver real outcomes, leveraging existing models and frameworks.

This hands-on role requires strong ownership, collaboration, and the ability to ship AI/automation systems to production while improving scalability and efficiency across functions.

Qualifications

• 4+ years in engineering or equivalent 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 across full stack.
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling and query performance.
• Ability to decompose human workflows into scalable agentic systems with curiosity about how people work.
• High ownership and cross-functional influence, able to build trust across teams and seniority levels.

Responsibilities

• Embed with partner teams to deeply understand workflows and shadow 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.

Skills

LLMs & Agent Frameworks

SQL/NoSQL Databases

Cross-functional Collaboration

AI/Automation Systems Shipping

System Design & Architecture

Job description

Brex is seeking an engineering role focused on building AI agents to automate internal workflows. You will embed with teams across Brex to design, build, and ship agentic solutions that deliver real outcomes, leveraging existing models and frameworks.

This hands-on role requires strong ownership, collaboration, and the ability to ship AI/automation systems to production while improving scalability and efficiency across functions.