Applied AI Engineer

As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. 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 multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems.

Responsibilities:

• Design, build, and deploy end-to-end AI-powered product experiences from concept to production
• Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, and agent frameworks
• Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling
• Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning
• 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
• Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows
• Evaluate and refine AI-generated outputs through testing and human-in-the-loop strategies
• Partner with cross-functional teams (Product, Design, Engineering, Data, Leadership) and make architectural trade-off decisions balancing speed, scalability, latency, cost, accuracy, and maintainability
• Continuously evaluate emerging AI technologies

Requirements:

• 8+ years building and shipping production software with significant full-stack experience
• Demonstrated success designing and deploying production-grade AI/ML systems
• Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling
• Strong engineering fundamentals in backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems
• Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale
• Strong systems thinking and ability to independently move ideas to shipped products
• Strong product instincts and visual sensibility; genuine interest in creative industries (architecture, design, fashion, media, art)
• Open-source contributions or demonstrable AI work preferred

Benefits: Flexible PTO and paid national holidays; medical, dental, vision, and disability coverage; 401(k) eligibility after 90 days; hybrid work model; professional growth opportunities; community sponsorship programs.