Note: The job is a remote job and is open to candidates in USA. Suzy is hiring an AI Engineer to lead AI-first execution and build production software through systems thinking. The role owns how AI appears in the client-facing product, including AI systems and software factories, with responsibility for their latency, cost, and reliability.
Responsibilities
- You will own how AI shows up in the product our clients actually use
- The focus is the client-facing product; in practice your talents get pulled toward whatever AI problem matters most, internal or client-facing — including building a software factory that can take an idea from concept to production with zero human intervention
- Scope includes ownership of the latency, cost, and reliability of the AI systems you build, not just whether they work
Skills
- 7+ years of engineering experience, including time as the person others came to for the hardest architectural questions
- Genuine fluency with AI-native development: you know the difference between using Claude to autocomplete and running a multi-agent workflow. You have opinions on prompt design, context window management, agent orchestration patterns, and when to use a subagent vs. a tool
- Built evaluation infrastructure — harnesses that measure whether an AI system is right, not just whether it runs. Here, wrong isn't a crash — it's a fluent, plausible insight a brand acts on and shouldn't have
- Experience building personalized, agent-driven experiences for end users — you understand what it takes to tailor an AI system's behavior to an individual user's context, not just ship internal tooling
- Strong systems instincts: you think about blast radius before you write the PR, catch the design problem before it becomes a production incident, and make tradeoffs explicitly
- Full-stack capable, with a natural habitat in backend services, data flows, and infrastructure decisions. Stack is primarily Node.js and Next.js, with Python for heavy data work
- Communication that matches your technical ability: clear architecture decision records, precise PR feedback, and the ability to explain a complex system to a non-engineer without dumbing it down
- You've operated in an environment where AI tools are the primary means of production, not a productivity hack
- You've architected systems with agents as first-class consumers
- You think about agent safety, context management, and tool design the same way a good systems engineer thinks about API contracts and failure modes
- You've shipped multi-agent workflows in production
Benefits
- Generous health, dental, and vision benefits for employees and their families
- 401K plan that vests immediately
- A friendly, fun, and collaborative work environment with frequent exposure to executives
- The opportunity to make an immediate impact as a part of a fast-growing company
Company Overview
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