DEUNA
Digital Payments & Money Transfer
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We built Athia, DEUNA's cognitive intelligence layer for payment optimization and fraud detection. You'll own the interfaces where that intelligence meets the user: conversational copilots, agentic "deep research" flows, organic dashboards, and live data visualizations. This is high-craft product engineering — we move from a PM's idea to a working, shippable flow in days, then harden what proves out. You should love turning product definitions into interfaces that feel fast, trustworthy, and a little magical.
You'll work close to product and design (sometimes you are the designer for a flow), and you'll have enough backend range to wire your own data and APIs without waiting on someone else.
Build and maintain production-grade Next.js (App Router) + React + TypeScript applications — dashboards, chat/copilot surfaces, and agentic research UIs.
Design and ship data visualizations (time series, breakdowns, combo charts, KPI strips) with a charting library (we use ECharts) — readable, performant, on-brand.
Craft AI/agent UX: streaming "thinking" traces, multi-step/agent fan-out progress, grounded follow-up conversations, and the rich result artifacts (boards, reports, canvases) users interrogate.
Own and extend a design system — design tokens, reusable components, motion/animation, and accessibility — keeping a large surface visually consistent.
Prototype mock-first for rapid product iteration, then graduate proven flows to real data and APIs.
Care about performance and correctness: React rendering, SSR/hydration, bundle size, and the subtle bugs that come with modern React.
Do light fullstack glue: build and consume REST/JSON APIs, wire up a backend service or BFF endpoint, shape data contracts, and integrate LLM/agent backends.
Keep the codebase healthy: typed, linted, documented, and easy for the next person (human or AI agent) to pick up.
3+ years building web apps with React and TypeScript in production.
Strong with a modern React framework (Next.js or similar) — App Router, SSR/CSR trade-offs, data fetching, routing.
Real fluency in CSS / a utility framework (Tailwind) and translating design into pixel-faithful, responsive, accessible UI.
Experience with data visualization / charting and making dense information legible.
Solid product instincts — you make sensible UX decisions independently and sweat the details (states, empty/loading/error, motion, micro-interactions).
Comfortable with Git, code review, and shipping iteratively; you write code that reads like the code around it.
You can stand up and consume an API — Node/Express or Python/FastAPI — and reason about request/response shapes, auth, and async behavior.
You're comfortable integrating LLM / agent APIs (streaming responses, tool/function calls) and modeling that on the frontend.
You don't need to be a backend specialist — but you shouldn't be blocked waiting for one.
AI-native UX experience: copilots, RAG/agent interfaces, streaming/token-by-token UIs, or "show your reasoning" patterns.
Building or maintaining a design system / component library.
Fintech / payments domain exposure (acceptance rates, routing, fraud, PSPs) — or eagerness to learn it fast.
Animation/motion craft (Framer Motion, CSS transitions, tasteful micro-interactions).
Working alongside AI coding agents and keeping a repo that's legible to them (clear conventions, docs, typed contracts).
An eye for performance profiling and React rendering optimization.
Speed-to-working-flow beats premature robustness — we prototype to learn, then invest where it counts.
Tight loop with PM and design; you'll often shape the experience, not just implement it.
Small surface area of ownership, high autonomy, high craft bar.
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Marcus Rivera
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DEUNA
DEUNA
DEUNA
