Applied AI Engineer
$182k - $216kMaterial Bank
Salary: $182,000 - 216,000 per year Requirements:
- 8+ years of experience building and shipping production software, including substantial full-stack engineering exposure
- Proven track record designing and delivering production-ready AI/ML systems and AI-enabled product experiences
- Deep practical experience with LLMs, embeddings, multimodal AI, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or similar custom solutions
- Strong engineering foundation across backend services, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems
- Experience working with multimodal models, visual analysis systems, and image-driven AI workflows at scale, including familiarity with current image-generation tools and services
- Strong systems-thinking skills with the ability to navigate trade-offs across latency, cost, scalability, accuracy, reliability, and user experience
- Ability to independently take ambiguous problems from concept to shipped product with minimal supervision
- Strong product judgment, visual sensibility, and a high standard for quality, usability, and craftsmanship in AI-driven experiences
- Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste
- Open-source contributions, side projects, or publicly visible AI work that shows curiosity, experimentation, and passion for applied AI are strongly preferred
- Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
- Design, build, and launch end-to-end AI-powered product experiences from concept through production
- Architect and implement scalable AI systems using LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure
- Develop production-ready multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling
- Build and refine Retrieval-Augmented Generation systems, including embeddings, vector search, retrieval pipelines, chunking approaches, and relevance tuning
- Create multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal models, embedding tools, and specialized technology such as SAM2/SAM3
- Deliver AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across our platform
- Assess, improve, and fine-tune AI-generated outputs for quality, tone, accuracy, and creative fit through testing, iteration, and human-in-the-loop evaluation
- Collaborate closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and turn ambiguous ideas into production-ready AI capabilities
- Make architectural choices that balance speed, scalability, latency, cost, accuracy, and long-term maintainability
- Continuously review emerging AI technologies, models, frameworks, and workflows to uncover opportunities that create meaningful business and user value
- AI
- Architect
- Backend
- Cloud
- Support
- JavaScript
- Python
- TypeScript
More:
We are Material Bank, the worlds largest material marketplace for the architecture and design industry, operating in 37 countries and connecting thousands of designers with tens of thousands of materials from leading brands. We are hiring an Applied AI Engineer for a senior-level individual contributor role focused on applied AI product development, where we build thoughtful, polished, and useful AI experiences across our platform. Our team moves quickly from idea to execution, values efficiency and smart automation, and works in small empowered teams. We offer flexible PTO, sick days, paid national holidays, health benefits with company contributions, retirement eligibility after 90 days, employee assistance support, growth opportunities, community involvement, and a hybrid working model that can be remote, in person, or a mix depending on the team. We are proud to be an equal opportunity employer and value diversity.
last updated 42 week of 2026
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