Full-Stack AI Engineer

About this role

Join Hire Hangar and work with fast-growing global companies while building a long-term career. Job Title Full-Stack AI Engineer Location Remote Time Zone US Time Zones (EST–PST) Role Overview We are seeking a senior Full-Stack AI Engineer to join our platform team and own the end-to-end build of a data ingestion and intelligence layer for enterprise customers in the media vertical. This is a high-impact, high-ownership role at the intersection of AI, data engineering, and product.

You will architect and ship pipelines that transform unstructured creative assets and ad performance data into a semantic, vector-based layer — and expose it through AI agents and a polished React frontend. We move fast, ship to production, and hold a high bar for craft and reliability. What You'll Build - A dual-mode data ingestion engine handling creative components (CTAs, headers, body copy, images, video, and metadata) and ad performance data (channel-level signals tied to those components) - Multi-modal embedding generation and storage — vector plus structured — optimised for retrieval quality and cost - AI agent tooling that enables natural language search, comparison, and reasoning across the creative and performance data layer - A React frontend that lets users explore the creative library, query performance data in plain English, and surface actionable optimisation insights - Audit-logged decisioning and governance infrastructure to meet enterprise-grade requirements Key Responsibilities - 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 Required Qualifications - Strong TypeScript — you use types as a design tool, not a formality - Production experience with serverless or edge runtimes (Cloudflare Workers, Vercel, Lambda, Deno Deploy, or equivalent) - Demonstrated experience building durable, idempotent ingestion pipelines with queuing, retry logic, backpressure handling, deduplication, and schema evolution - Practical, production-level understanding of embeddings, chunking strategies, and retrieval quality tuning - At least one agent-style system shipped to production: tool use, stateful multi-step workflows — framework matters less than the experience - React fluency with modern patterns and component architecture - Comfort operating across two cloud environments; able to reason clearly about when to use edge compute vs.