Role overview
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.
Job Title Full-Stack AI Engineer – Platform Team (AI Intelligence Layer)
What you'll work on
- Design and build durable, idempotent ingestion pipelines for creative and performance data at scale (queues, retries, backpressure, dedup, schema evolution)
- Generate and manage embeddings for multi-modal creative assets; select and operate the right vector store for the workload
- Build and maintain retrieval pipelines that serve AI agent tools with accurate, low-latency responses
- Ship agent-style systems with tool use, state management, and multi-step reasoning workflows
- Develop and maintain the React frontend for the creative intelligence library and query interface
- Own the full lifecycle of your systems: design, build, deploy, monitor, and iterate
- Contribute to stack decisions with clear reasoning grounded in production experience
- Collaborate closely with product and enterprise partners to translate requirements into reliable, scalable systems
What we're looking for
- Experience building or operating RAG systems in production
- Familiarity with current embedding models and the tradeoffs across dimension, quality, and cost
- Background in ETL design, observability for data pipelines, or evaluation frameworks for retrieval quality
- Adtech, performance marketing, or marketing analytics background — understanding what channels, attribution, and creative testing look like in a live production context
- Opinions on vector databases (Cloudflare Vectorize, Vertex AI Vector Search, Turbopuffer, or similar) backed by hands-on experience
Tags & focus areas
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