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Applied AI Engineer

Materialbank · Remote · 2026-07-15

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About this role

<div class="content-intro"><p>Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.</p></div><p class="p2"><strong>About the role<span class="Apple-converted-space"> </span></strong></p> <p class="p2">As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank’s platform. You will work as part of the team responsible for taking ideas from concept to production — building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community.<span class="Apple-converted-space"> </span></p> <p class="p2">This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems.<span class="Apple-converted-space"> </span></p> <p class="p2">We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank’s platform, and you will help define and build that future.<span class="Apple-converted-space"> </span></p> <p class="p2"><strong>What you’ll do<span class="Apple-converted-space"> </span></strong></p> <ul class="ul1"> <li class="li3">Design, build, and deploy end-to-end AI-powered product experiences from concept through production.<span class="Apple-converted-space"> </span></li> <li class="li3">Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure.<span class="Apple-converted-space"> </span></li> <li class="li3">Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling.<span class="Apple-converted-space"> </span></li> <li class="li3">Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning.<span class="Apple-converted-space"> </span></li> <li class="li2">Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3.<span class="Apple-converted-space"> </span></li> <li class="li5">Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank’s platform.<span class="Apple-converted-space"> </span></li> <li class="li5">Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies.<span class="Apple-converted-space"> </span></li> <li class="li5">Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities.<span class="Apple-converted-space"> </span></li> <li class="li5">Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability.<span class="Apple-converted-space"> </span></li> <li class="li2">Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value.<span class="Apple-converted-space"> </span></li> </ul> <p class="p2"><strong>What you’ll bring<span class="Apple-converted-space"> </span></strong></p> <ul class="ul1"> <li class="li3">8+ years of experience building and shipping production software, including significant full-stack engineering experience.<span class="Apple-converted-space"> </span></li> <li class="li3">Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences.<span class="Apple-converted-space"> </span></li> <li class="li3">Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures,…

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