Hire Hangar
media
Full-StackAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Full-Stack AI Engineer at Hire Hangar. Skills: Full-Stack AI Engineering, Data Ingestion Pipelines, AI Agent Development, React Frontend. Build data ingestion and intelligence layer. Architect and ship data transformation pipelines”
What You'll Achieve.
Ship pipelines that transform data; Expose data through AI agents and frontend; Meet enterprise-grade requirements; Serve AI agent tools with accurate, low-latency responses; Surface actionable optimisation insights
Industry & Context.
Reasoning across cloud services; Bridging edge compute and managed services; Multi-step reasoning workflows
Must have prior remote work experience, Fluent with remote collaboration tools and platforms, Ideally worked with US or UK-based companies, Record a video as part of application process
What They're Looking For.
Must Have
TypeScript, Production experience with serverless or edge runtimes, Demonstrated experience building durable, idempotent ingestion pipelines, Practical, production-level understanding of embeddings, chunking strategies, and retrieval quality tuning, At least one agent-style system shipped to production, React fluency with modern patterns and component architecture, Comfort operating across two cloud, Prior remote work experience, Fluent with remote collaboration tools and platforms
Nice to Have
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, Opinions on vector databases backed by hands-on experience
What You'll Do.
Build data ingestion and intelligence layer
Architect and ship data transformation pipelines
Expose data through AI agents and React frontend
Design and build ingestion pipelines
Generate and manage embeddings
Build and maintain retrieval pipelines
Ship agent-style systems
Develop and maintain React frontend
Own full system lifecycle
Contribute to stack decisions
Collaborate with product and enterprise partners
How You'll Work.
Team & Collaboration
Collaborate closely with product and enterprise partners
Full Job Description
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) 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 m
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