We build creative tools for the new creative class—an intelligent canvas where the best AI models enable professional craft. We're a team of ~20, backed by exceptional investors like Hanabi Capital, Menlo Ventures, Justin Kan, and Gabe Whaley (founder of MSCHF). Our customers span a variety of creative industries and include Pentagram, Lionsgate, and Nike.
We’re looking to bring on an Applied AI Engineer who will architect and build the agentic systems powering FLORA.
As part of the founding team, you will work closely with the founders to invent how creative professionals interact with AI in a generative age. This is a first-principles role: you’ll design, implement, and scale the backbone of agentic workflows that let creatives orchestrate text, image, and video models seamlessly on FLORA’s infinite canvas.
What You’ll Do
As an Applied AI Engineer, you’ll design and build the intelligence layer of FLORA — systems that make multi-modal creative workflows powerful, reliable, and intuitive. You’ll work on problems at the intersection of AI, orchestration, and interaction design: bringing together text, image, and video models into seamless workflows that creatives can actually trust and enjoy using.
You’ll collaborate across product, infra, and design to build agentic features that let creatives speak their idea into existence while maintaining control.
Requirements
Hands-on experience building agentic systems — e.g. multi-step pipelines, tool-using agents, assistants with memory, or similar.
Familiarity with evaluation frameworks (automated checks, regression testing, human-in-the-loop scoring) to ensure system reliability.
Experience with memory and retrieval (vector DBs, embeddings, summarization, context management).
Strong background in orchestration across models, APIs, and tools — including handling retries, fallbacks, and edge cases.
Comfortable reasoning about multi-modal workflows (text, image, video) and their integration in a user-facing product.
Ability to work across the stack (frontend, backend, infra) and collaborate closely with product and design.
Product-minded — you care as much about usability and creative control as you do about technical novelty.
3+ years of engineering experience
Bonus: experience with creative tools, generative models, or node-based interfaces.
We work in-person at the Domino Refinery building in Williamsburg, Brooklyn—with views of the East River.
Compensation and benefitsCompetitive salary and meaningful equity. We also offer an Equinox membership and comprehensive health and dental coverage.
Top Skills
What We Do
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
