AI Innovation Team Lead (Remote, Contract)

OUR HIRING PROCESS

• We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
• We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
• At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
• From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.

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We're starting a new engineering team that runs like a small product company inside the company. It picks up real problems and ideas, decides what's worth building, ships fast, and owns what it ships. Sometimes that's an internal automation that saves a team hours every week. Sometimes it's a brand-new product built from an idea. You'd lead this team and build alongside it.

We're hiring a strong engineer first. This is a hands-on role: you'll own projects end to end, from scoping and architecture through development to production. No-code and workflow tools have their place here, but the core of the job is designing and writing production software.

Our stack: Python and TypeScript/Node.js, SQL, AWS, Claude for LLM work. We work AI-native: agentic coding tools are part of how engineering gets done here.

What you'll do

• Own the architecture of what the team builds: service boundaries, data flows, integrations, failure modes.
• Build alongside the team: Python and TypeScript services, SQL against live databases, LLM-based agents where they earn their place.
• Turn new product ideas into working prototypes fast, and take the ones that prove out to production. Part of the job is killing weak ideas early and saying why.
• Take incoming automation requests, analyze the process behind each one, and prioritize by financial impact. Some requests deserve a week of engineering. Some deserve a "no". You make that call and explain it to the requester.
• Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. What matters is that you drive...