dentsu

UI Developer, Agentic

Reposted 25 Days Ago

Be an Early Applicant

Makati City, Metro Manila, National Capital Region, PHL

In-Office

Senior level

AdTech • Marketing Tech

The Role

Develop frontend interfaces for Dentsu's AI products using React and Tailwind CSS. Responsibilities include translating designs, API integration, and creating data visualizations.

Summary Generated by Built In

Job Description:

Role Summary

Build the frontend interfaces that make Dentsu’s agentic AI products real. You are the bridge between design and engineering - taking Figma designs and turning them into production React applications powered by Tailwind CSS. You will build conversational UI for multi-agent systems, interactive dashboards for data visualization, and client-facing tools that make complex AI accessible to non-technical users. This is a coding-heavy role: you ship frontend daily using AI-accelerated development tools like Claude Code and Cursor, and you’re expected to move fast. You’ll also work directly with the existing BI team to modernize data visualization from static Power BI reports into interactive React-based experiences.

Key Responsibilities

Build production React/TypeScript applications with Tailwind CSS for all client-facing agentic AI products
Translate Figma designs into pixel-perfect, responsive frontend implementations - working directly with the Product Designer to bring concepts to production
Develop conversational and interactive UI for multi-agent systems, Genie spaces, and automated workflow tools that serve media teams and clients
Ship fast using AI-accelerated development tools (Claude Code, Cursor, GitHub Copilot) - expected proficiency in prompt-driven development workflows
Build and consume MCP (Model Context Protocol) servers to connect Figma, Databricks, and other platform APIs into the development workflow
Partner with the existing BI team to build React/Tailwind-based data visualization components that replace or extend static Power BI dashboards
Develop and maintain a shared component library and design system implementation in React/Tailwind for the Decisioning practice’s AI product suite
Implement real-time data streaming interfaces, agent status displays, and human-in-the-loop interaction patterns for agentic workflows
Build onboarding flows, demo environments, and client-facing presentation tools that showcase AI product capabilities
Collaborate with AI Engineers on API integration, WebSocket connections, and frontend state management for multi-agent orchestration

Required Qualifications

8 –10 years of frontend engineering experience with a portfolio of shipped production React applications
Expert-level proficiency in React, TypeScript, and Tailwind CSS
Deep proficiency in Figma - able to inspect designs, export assets, understand auto-layout, and implement with high fidelity
Demonstrated experience using AI coding tools (Claude Code, Cursor, GitHub Copilot) as primary development accelerators, not just autocomplete
Experience building and consuming MCP servers or similar API integration tooling with Figma and development workflows
Strong understanding of modern frontend architecture: component-driven development, state management (Redux, Zustand, or similar), and API integration patterns
Experience building data visualization interfaces using D3.js, Recharts, Nivo, or similar React-compatible charting libraries
Experience with real-time UI patterns: WebSockets, server-sent events, streaming responses, and optimistic updates
Strong understanding of responsive design, accessibility fundamentals, and cross-browser compatibility
Comfort working in a fast-moving team that ships iteratively with continuous deployment

Preferred Qualifications

Experience in media, advertising, or marketing technology industries
Familiarity with Databricks, Power BI, or analytics platforms from a frontend integration perspective
Experience building conversational interfaces, chatbot UIs, or copilot-style interaction patterns
Background building design systems from scratch and maintaining shared component libraries at scale
Experience with Next.js, Vite, or modern React build tooling and deployment pipelines
Familiarity with LLM APIs, streaming token interfaces, and agentic UI patterns (tool-use displays, chain-of-thought visualization)
Open-source contributions or personal projects demonstrating AI-accelerated frontend development

Location:

Makati City

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent