About this role
Upside is a software consultancy built by engineers, for engineers. We partner with global companies to solve real, complex technical challenges. We're deep into Applied AI and R&D, building both production-grade platforms for clients and our own open-source tools like Enthusiast (Agentic AI framework). We operate in a Forward-Deployed model. We don't sit behind a wall of specs or wait for the tickets. We get into the trenches with the client, identify the actual challenges, and take full ownership of the solution. Our teams are small (3–9 people), autonomous, and cross-functional. We're looking for a Design Engineer who understands how their work gets built after it's been handed off. If you're curious about how modern frontend works, how components translate from Figma to code, or how AI-generated UI is changing the boundary between design and implementation, you'll find a lot of room to grow in that direction here. What it means for you You'll work at the intersection of design and AI - shaping how people experience intelligent systems, not just polishing interfaces. You'll partner directly with engineers and client stakeholders from day one, translating complex AI-driven workflows into products that feel intuitive and purposeful. Your design decisions will ship into production systems used by real users at scale. This isn't a role where design is an afterthought. At Upside, it's part of how we win. Role Overview As an AI UX/UI Designer, you'll own the end-to-end design process across client projects and internal products - from early discovery and wireframes through to high-fidelity UI and handoff. You'll bring a user-centric lens to AI-powered products where the interaction patterns are often novel and the stakes are high. We're looking for someone who is as comfortable in a workshop with a client's product team as they are pushing pixels. What you can expect Design ownership: Lead UX and UI work across web and mobile products, from concept to production-ready handoff. AI product design: Design interaction patterns for AI-driven features - conversational interfaces, agentic workflows, intelligent dashboards - where conventional design playbooks don't always apply. Discovery & research: Run design workshops and user research sessions with clients to ground decisions in real user needs. Stakeholder communication: Present and defend design decisions clearly to both technical and non-technical audiences. Cross-functional collaboration: Work closely with engineers and product leads in small, autonomous teams - understanding technical constraints without being limited by them. Open-source contribution: Contribute to internal design systems and open-source initiatives. Over time, we see this role evolving toward someone who can sit in a room with engineers and speak both languages fluently - making design decisions that are not only visually and experientially strong, but grounded in how they'll actually behave in production. If that intersection genuinely excites you, we want to hear from you.