Design Engineer: End-to-End AI UI Enterprise

Position: Design Engineer: End-to-End AI UI for Enterprise

• Postgres, GCP

Who we are

Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.

We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak.

What we are building

We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in.

Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors.

Velocity is our moat: ship fast, iterate faster, compound learning.

The role

You will own the intersection of design and engineering — you don't hand off mockups, you ship the final experience. You combine strong visual and interaction design skills with production-quality frontend engineering to build interfaces that are beautiful, functional, and fast.

You'll design and build surfaces like: AI agent builder flows, operational dashboards with real-time case management, process analysis viewers, and integration setup wizards.

Your unit of ownership: the quality of user-facing experiences, from design concept through production implementation. You own how it looks, how it feels, and how it's built.

We're a growing product team scaling into multiple initiatives, each with a lead, engineers, a design engineer, and an AI-focused engineer.

What we're looking for

These are non-negotiables—the things we'll specifically evaluate you on:

• Design craft in data-heavy, enterprise interfaces. You can make complex information feel simple. You have a sharp eye for typography, spacing, color, hierarchy, and interaction design — and you apply it to real product surfaces, not just portfolios.
• Frontend engineering. You write production-quality React code. You understand component architecture, performance, accessibility, and how to build UIs that hold up under real usage.
• Shipping end-to-end. You own features from concept to production. You don't just design — you build, test, and ship. You don't just code — you think about the user experience holistically.
• Product judgment. You make good design and scope decisions that balance user needs, technical constraints, and business goals. You can define what "good enough" looks like for a first iteration and what "great" looks like for the next.
• Collaboration. You work effectively with engineers, product, and other designers. You give and receive critique well, and you use feedback to make the work better, not to defend it.
• AI interaction design. You'll design AI interaction patterns where no established UX conventions exist — and iterate based on what you learn from real enterprise users.

You might also

• Have experience designing complex, data-heavy enterprise interfaces.
• Have a deep understanding of motion design and micro-interactions that make interfaces feel alive.
• Be passionate about design systems — building and maintaining component libraries that scale.

This is not for you if

• You want to set org-level design direction and build a team — see Head of Design.
• You'd rather define the system than build features within it.

Our tech stack

• Type Script-first
• React and Fastify
• Tailwind CSS
• Postgres, GCP
• Latest AI primitives

How we work

These Are Real Tradeoffs We've Made, Not Aspirations

• Initiative-driven. We organize around customer problems, not org charts. Problems surface through product feedback, competitive analysis, and direct customer conversations — then we prioritize, build, and ship weekly.
• Customer-obsessed. We solve real problems, not hypothetical ones. Features that don't move customer metrics get cut.
• Iterative by default. We ship small, learn fast, and never get attached to yesterday's code. This means things break sometimes — we fix forward.
• AI-first leverage. We use AI to move faster and focus human time…