Applied AI Engineer
Core
Design, build, and deploy end-to-end AI-powered product experiences (multimodal search, content generation, agentic workflows) for design professionals on Material Bank's global marketplace.
Role type
Senior individual contributor applied AI engineer
Builds
Scalable AI systems, multi-agent workflows, RAG pipelines, and multimodal AI tools for material discovery and creative workflows
Domain
Architecture and design industry / Applied AI / Generative AI
Deliverable
production ML models | product features
Required skills
Full-stack engineering, LLMs, embeddings, multimodal AI systems, RAG architectures, multi-agent frameworks, backend systems, APIs, data pipelines, cloud infrastructure, JavaScript/TypeScript, Python
Preferred skills
Open-source contributions, side projects, publicly demonstrable AI work, experience with image-generation tooling
Technologies
LangGraph, LangChain, Mastra, SAM2, SAM3, vector search, chunking strategies
Responsibilities
Design and deploy AI-powered product experiences from concept to production; Architect and implement scalable AI systems leveraging LLMs and agent frameworks; Build production-grade multi-agent workflows and orchestration systems; Develop and optimize Retrieval-Augmented Generation (RAG) systems; Build multimodal AI workflows analyzing images and creative assets; Evaluate and refine AI-generated outputs for quality and creative alignment; Partner with Product, Design, and Engineering to translate ideas into production-ready capabilities; Make architectural decisions balancing speed, scalability, latency, and cost
Seniority
Senior, hands-on IC
