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Full-Stack AI Engineer

Hire Hangar•Argentina, Bolivia, Colombia, Dominican Republic, Ecuador, Egypt, Honduras, Jamaica, Mexico, Nicaragua, Panama, Peru, Philippines, South Africa•🌍 Remote
Contract7-15
$3k - $4k
per year
👁️ 0 views•📝 0 applications•Posted 9/8/2026•Expires 11/7/2026
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Job Description

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 front

Required Skills

Full-Stack DevelopmentAIData EngineeringReactData IngestionPipelinesEmbedding GenerationVector StorageNatural Language ProcessingPerformance Data AnalysisAudit LoggingGovernance InfrastructureMulti-modal DataCreative AssetsAd Performance DataLow-latency ResponsesState ManagementMulti-step Reasoning

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