Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies and is seeking a Senior Software Engineer to be a catalyst for an AI-first culture at Brex.
Requirements
- A demonstrated expertise of LLMs and agentic workflows. You’ve built agentic products or agentic systems.
- A builder first mentality. You live in your code editor. Your instincts lean toward “let’s try it,” not “let’s talk about it.”
- Obsessively data-driven with strong taste. You curate clean, reliable datasets and pair quantitative rigor with good judgment. You know when to measure everything and use it to guide your decisions.
- Founder or Founding Engineer of a venture-backed AI startup with a proven history of creating successful AI-driven products from scratch.
- Passionate about taking on diverse roles, from developing functional product prototypes and designing intuitive UIs to steering product strategy, all to bring innovative AI solutions to life.
Responsibilities
- Build and ship AI-first product features that feel magical, not incremental.
- Use LLMs as your default medium for creating tools, interfaces, and internal agents.
- Collaborate with product, design, and engineering to push the boundaries of what’s possible with AI.
- Contribute to shaping our AI engineering culture by being visible and outspoken—internally and externally.
- Reinforce Brex’s position as the company hiring the best AI builders in the world.
- Drive AI-led advancements by building innovative 0-1 full-stack products in the agents space.
- Develop and launch cutting-edge product features using LLMs and agents
Other
- Bachelor's, Master's, or Ph.D. degree in a relevant field (not explicitly mentioned but implied)
- 2-4 weeks per year of fully remote work
- Hybrid work environment with a minimum of two coordinated days in the office per week, Wednesday and Thursday
- Must be located in or willing to relocate to San Francisco, New York, or Seattle
- Must be aware of potential malicious actors targeting job-seekers for personal data
