- Owns memory, long-running execution (agents that work for weeks), and the evals that measure them
- Strong infrastructure background plus full-stack generalist capability and product judgment.
- Customer-facing, so slightly credential-weighted (Decagon/Harvey/Factory/Ramp types)
- Kind and coachable
Doe's two founders are bottlenecked by customer onboarding, support questions, best-practice guidance, contract delivery, and the need to keep shipping product features quickly. This hire will increase engineering speed while reducing the amount of product and infrastructure work that currently depends on the founders.
As a founding full-stack engineer, you'll work across the infrastructure and product layers of an AI platform. Your scope includes building general-purpose systems and user-facing experiences around agents, recommendation systems, memory, and internal applications, with the most important initial spike being to make agents more useful and reliable through strong infrastructure and thoughtful product decisions. The role may also support customer conversations and onboarding.
What You'll Own
- Build and improve agent infrastructure and user-facing product experiences.
- Develop systems involving memory, recommendation systems, and long-running agent execution.
- Build internal applications and workflows that help agents own complete business tasks.
- Make product and design decisions that improve the user experience.
- Support customer conversations when needed, including explaining product capabilities and best practices.
- Work with the founders to maintain feature parity and ship product improvements quickly.
Technical Requirements
- Strong infrastructure engineering background.
- Full-stack generalist experience across product and platform layers.
- Ability to make sound architecture decisions and explain technical trade-offs.
- Product judgment for user-facing systems, including recommendation systems, memory, and agent workflows.
- Experience building software that operates reliably in production or at meaningful scale.
- Ability to understand and discuss projects listed on your resume in technical depth.
Execution and Ownership
- Operate as a founding engineer with broad ownership across infrastructure and product.
- Work autonomously without hour tracking or close day-to-day management.
- Be comfortable working in a fast-changing AI environment and trying new tools and workflows.
- Own deliverables and customer commitments through completion, including work that may be finished remotely after time in the office.
- Participate in a lean interview process consisting of a 30-minute introductory call, a technical discussion of a prior project, and either a two-to-four-day work trial or a one-to-two-day take-home assessment.
Background
- Typically one to seven years of experience, with at least one year out of school preferred.
- Candidates earlier in their careers may be considered with exceptional founder experience, standout internships, or other unusually strong evidence of engineering ability.
- Experience at a strong engineering organization is valued, with examples discussed by the team including Decagon, Harvey, Factory, and Ramp.
- Evidence of excellence may include a highly competitive achievement, founder fellowship, or other standout accomplishment; no single educational background is required.
- Comfort communicating with customers or participating in customer-facing work is useful for this role.
Nice to Have
- Product or design orientation and strong attention to detail.
- Experience at a strong engineering organization such as Decagon, Harvey, Factory, or Ramp.
- Founder experience or participation in a founder fellowship such as Z Fellows or YC.
- Competitive achievement in an area such as mathematics, programming, debate, or games.
- Comfort joining customer calls and helping with onboarding or support.
Who Will Thrive Here You'll thrive here if you enjoy broad ownership, can move between infrastructure and product decisions, and are willing to test new tools and ways of working as the AI landscape changes. The team values people who are kind, collaborative, intellectually curious, and able to make progress without needing every task or hour prescribed.