[Remote] Lead Full-Stack AI Engineer
Note: The job is a remote job and is open to candidates in USA. Userflow is an innovative company focused on redefining product adoption through AI-native applications. They are seeking a Lead Full-Stack AI Engineer to drive the development of their AdoptionAgent, ship AI-first solutions, and transform engineering practices to integrate AI across the organization.
Responsibilities
- Ship AI-first solutions end-to-end, in partnership with other engineers, PM, and QA
- Set the AI direction at Userflow — agent UX patterns, prompt engineering, eval mindset, what 'good' looks like for AI features here
- Transform how our engineering org ships — AI-augmented CI/CD, AI code review, IDE-native AI workflows — so every team gets faster, not just yours
- Own AdoptionAgent, end-to-end: the full development cycle of the agentic experience that customers' end-users interact with inside their own apps
- Own AI engineering practice at Userflow: prompt patterns, agent UX heuristics, eval pipelines, internal tooling that makes AI-augmented work the default for both FE and BE engineers
- Define Userflow's AI-native engineering workflow: how the org adopts AI in CI/CD, code review, and IDE-native development
Skills
- Hands-on AI feature shipping → you've personally built and shipped LLM-powered product features. You can talk about prompt iteration, eval methodology, latency/cost tradeoffs, and when •not• to use an LLM. Resume mentions of 'AI experience' without specifics will not pass our screen
- AI-native development workflow → you ship in Cursor, Claude Code, Windsurf, or equivalent. You've set up AI-augmented CI/CD pipelines and AI code review (CodeRabbit, Greptile, Claude review, internal equivalents). You can articulate what AI tooling has actually changed about your work, not just that you use it
- Track record of raising the bar around you → you've changed how a team or org ships, not just how you personally ship
- Comfort working across the stack. You may be deeper on one side than the other, but you can read, reason about, and contribute meaningfully to code on either side
- 5-8+ years building user-facing front-end systems, with at least 3 at the Senior+/Staff level shipping product surfaces that real customers depended on
- Experience with agentic systems (multi-step tool use, planning loops, agent UX patterns)
- Experience with eval pipelines for LLM features in production
- Visual builder / canvas / drag-drop product experience — Userflow's core IP is a no-code visual flow builder, so background in canvas/drag-drop products (Figma, Notion, Webflow, Framer) translates directly
- Open-source contributions to AI tooling, agent frameworks, or DX tools
Benefits
- Competitive compensation package
- Location: US - Remote
Company Overview