AI Engineer

suzy; United States; Remote; USD 175,000 - 225,000; Full time

Benefits offered by this job

Health, dental and vision benefits

401K plan vests immediately

Friendly, collaborative environment

Job summary

Suzy is hiring an AI Engineer who leads through systems thinking, AI-first execution, and shipping real things. You will own how AI shows up in the product our clients actually use, focusing on a client-facing product and building a software factory from concept to production.

You will own latency, cost, and reliability of AI systems and work across backend, data, and infrastructure with Node.js/Next.js and Python for data work.

Qualifications

• 7+ years of engineering experience with architectural leadership.
• Fluency with AI-native development, prompt design, context window management, and agent orchestration patterns.
• Built evaluation infrastructure to measure AI system correctness beyond runtime.
• Experience tailoring AI behavior to individual users.
• Strong system instincts and explicit tradeoffs in design.
• Full-stack with Node.js/Next.js and Python for data work.
• Clear architecture decisions and precise PR feedback.

Responsibilities

• Own how AI shows up in the client-facing product.
• Lead through code, architecture and quality bar.
• Build a software factory from concept to production with zero human intervention.
• Own latency, cost, and reliability of the AI systems you build.

Skills

AI-native development

System design

Full-stack engineering

Node.js/Next.js

Python for data work

Prompt design

Agent orchestration

Performance/latency optimization

Tools

Claude

Agents (multi-agent workflows)

Job description

The Role

Suzy is hiring an AI Engineer who leads through systems thinking, AI-first execution, and shipping real things. This is an individual contributor role. You lead through code, architecture, and the quality bar you set by example.

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.

Requirements

• 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

What Sets You Apart

• 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:

• We take care of our employees and their families. We have generous health dental and vision benefits, and our 401K plan vests immediately

• A friendly, fun, and collaborative work environment that allows for frequent exposure to executives

• The opportunity to make an immediate impact as a part of a fast-growing company

• The target base compensation for this role is $175,000 - $225,000 / yr.

Suzy is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to ensure all people feel supported and connected at work.

Suzy is committed to protecting its customers, employees, partners, and the company as a whole, from damaging acts that are intentional or unintentional. Effective security is a team effort involving the participation and support of every user who interacts with company information/data and systems. It is the responsibility of each individual to help protect company information assets.

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