AVP, Frontend Engineer, Technology Group

GIC; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

GIC is seeking a Frontend Engineer in Singapore to design and build interfaces that facilitate human-AI interaction. In this role, you will create adaptive, modular React components while working closely with AI engineers. Candidates should have over 5 years of experience in frontend engineering, with strong skills in TypeScript and React, as well as knowledge of web accessibility standards. The position promotes an inclusive work culture emphasizing collaboration and quality-minded development.

Qualifications

• 5+ years in frontend engineering with production experience in TypeScript and React.
• Experience building real-time, streaming UIs – handling SSE/WebSocket connections.
• Strong command of web accessibility, responsive design, and performance optimisation.

Responsibilities

• Design and ship modular, accessible React components.
• Integrate frontend applications with LLM-based agents via streaming APIs.
• Establish and document frontend standards for AI-native applications.

Skills

TypeScript

React

Component-driven architecture

State management

Web accessibility (WCAG 2.x)

Responsive design

Performance optimisation

Automated testing

Tools

Node.js

Docker

Kubernetes

Job description

What impact can you make in this role?

As a Frontend Engineer, you will design and build the surfaces where humans and AI agents meet — conversational interfaces, agentic dashboards, real-time streaming UIs, and emerging interaction paradigms like AG-UI and MCP Apps — all connected to the agent runtime and orchestration layers behind them.

Think of it as shaping how every person at GIC experiences AI: if the agent can reason and act, your job is to make that reasoning visible, controllable, and trustworthy.

You are not building forms on top of REST APIs. You are building adaptive, event-driven interfaces that stream agent thought, surface tool calls in real time, and keep a human in the loop when it matters.

Your Impact

• Own the human‑AI interaction layer — design and ship modular, accessible React components that render agent reasoning, tool invocations, and multi‑step workflows as they stream in
• Build agentic UIs — implement emerging interaction patterns (AG‑UI protocol events, generative UI, MCP Apps) so agents can push rich, structured content — not just text — into the user’s workspace
• Integrate with the agent stack — connect frontend applications to LLM‑based agents, RAG pipelines, and multi‑agent orchestration frameworks via streaming APIs (SSE, WebSockets) and the AI SDK
• Make AI explainable — surface observability data — traces, confidence scores, source attribution, and cost — in UIs that build user trust and enable debugging without leaving the browser
• Close the feedback loop — build inline feedback, evaluation, and correction affordances that feed directly back into agent improvement pipelines
• Raise the bar — establish and document frontend standards for AI‑native applications: component libraries, accessibility patterns, performance budgets, and automated testing strategies

What makes you a successful candidate?

• Must Have:
  • 5+ years in frontend engineering, with production experience in TypeScript and React (hooks, concurrent features, server components)
  • Deep understanding of component‑driven architecture, state management (Zustand, Redux, or React Query), and design‑system thinking
  • Experience building real‑time, streaming UIs — handling SSE / WebSocket connections, partial updates, and optimistic rendering
  • Hands‑on work integrating frontends with AI or LLM‑powered backends — chat completions, tool‑call rendering, structured output display
  • Strong command of web accessibility (WCAG 2.x), responsive design, and performance optimisation (Core Web Vitals mindset)
  • Comfort with automated testing at multiple levels — unit (Vitest / Jest), component (Testing Library), and E2E (Playwright / Cypress)
  • Familiarity with Node.js and RESTful / GraphQL APIs — able to read and contribute to backend code when needed
• Nice to Have:
  • Experience with agentic UI protocols and frameworks — AG‑UI, CopilotKit, Vercel AI SDK, or similar streaming‑agent‑to‑frontend toolkits
  • Familiarity with MCP (Model Context Protocol) and how MCP servers expose tools and resources to frontends
  • Exposure to AI explainability and trustworthy‑AI UX — provenance visualisation, confidence display, human‑in‑the‑loop approval flows
  • Working knowledge of generative UI — dynamically rendering UI components from agent output or structured schemas
  • Experience with containers & CI/CD (Docker, Kubernetes / EKS, GitHub Actions) for frontend build and deployment pipelines
  • Python literacy — enough to read agent code and collaborate fluidly with AI engineers
  • Cloud platform experience (AWS preferred)
• Mindset & Working Style:
  • User‑obsessed — you start from the person using the interface and work backwards to the data
  • Comfortable with ambiguity — you thrive when AI interaction patterns are still being invented
  • Strong communicator — you translate design intent into technical trade‑offs and explain rendering constraints clearly
  • Autonomous yet collaborative — you drive frontend architecture decisions independently while pairing naturally with AI engineers, designers, and product managers
  • Quality‑minded — you treat accessibility, performance, and test coverage as first‑class deliverables, not afterthoughts

GIC is an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.