Full-Stack AI Engineer
Core
Architect and ship end-to-end data ingestion and intelligence layers for enterprise media customers, transforming unstructured creative assets and ad performance data into a semantic, vector-based layer exposed via AI agents and a React frontend.
Role type
Senior Full-Stack AI Engineer (Platform)
Builds
Dual-mode data ingestion engines, multi-modal embedding storage, AI agent tooling, and a React frontend for creative intelligence.
Domain
Media technology, AI, and data engineering
Deliverable
production ML models | product features
Required skills
TypeScript, serverless/edge runtime architecture, durable idempotent ingestion pipelines, multi-modal embeddings and retrieval tuning, agent-style systems with tool use and state management, React fluency, cross-cloud environment reasoning
Preferred skills
RAG system production experience, embedding model tradeoff analysis, ETL design and pipeline observability, adtech and performance marketing background, vector database selection and operation
Technologies
TypeScript, Cloudflare Workers/Queues/Agents SDK, GCP Vertex AI, Vector databases (Cloudflare Vectorize, Vertex AI Vector Search, Turbopuffer), React, Remix, TanStack Start
Responsibilities
Design and build scalable ingestion pipelines for creative and performance data; generate and manage multi-modal embeddings; build retrieval pipelines for AI agents; develop and maintain the React frontend; own system lifecycle from design to iteration; contribute to stack decisions; collaborate with product and enterprise partners
Seniority
Senior, hands-on IC