Senior Full-Stack Engineer, AI Editing

Slate

1d•$95,000 - $200,000•Remote

About The Position

Slate is building an AI-first video editor where the AI agent is deeply integrated into the editor and the user’s brand and media library. The AI agent builds a plan, previews it, and executes across the timeline. The role involves owning the entire product experience on top of the AI pipeline, including the chat-driven interface, timeline integration, streaming UI for AI plan previews, and the upload flows that feed into AI analysis. This is a high-ownership role on a small, fast-moving team where you will ship real features end-to-end, from UI to backend services, in a competitive space in video software.

Requirements

5+ years of full-stack engineering, with a track record of shipping polished product features in production.
Experience building interfaces that consume AI or ML outputs; streaming responses, async workflows, plan-then-execute patterns.
Comfortable owning features from UI through to backend services without a handoff.
You care about the craft, the UI & product experience is top priority, not just functional.
You raise issues early and don't wait to be unblocked.
You think in systems: how the frontend state, the backend service, and the AI pipeline fit together.

Nice To Haves

Built UIs that handle streaming text or progressive AI responses.
Shipped product features involving video, media, or time-based content (a differentiator, not a requirement).
Worked in small teams with high ownership, moving from prototype to production quickly.

Responsibilities

Build the AI editing interface, including the chat-driven editing interface, agentic loops, streaming response rendering, AI plan previews, and suggested action surfaces.
Integrate the AI pipeline's outputs into the editor, rendering model plans, handling async results, and keeping the UI responsive across long-running operations.
Own the properties panels, chat panels, and lightweight timeline components that make the AI-first experience feel native.
Build upload flows and media analysis state communication, bridging raw video input with AI-ready content.
Design status indicators and progress surfaces for background processing, model inference, and asset analysis.
Work closely with AI Engineers to understand pipeline outputs and translate them into clear, actionable UI states.
Ship features end-to-end, from frontend components through to Node.js services to persistence layers (Firebase, AWS DynamoDB) and AWS infra.
Take prototype code and make it production-quality.
Collaborate with a small, high-ownership team where engineering, product, and design are tightly coupled.