Frontend Developer

Sequoia

Required skills

Design, build, test, and optimize front-end applications for AI-native product experiences.
Create intuitive interfaces for AI-powered workflows such as copilots, assistants, intelligent search, recommendations, summarization, and guided actions.
Integrate frontend experiences with LLM APIs, retrieval systems, and backend services.
Translate product requirements into technical specs — decomposing features into component architecture, API contracts, and edge cases ahead of implementation.
Own frontend architecture for your module and scale applications for performance, reliability, and maintainability.
Collaborate closely with product, design, backend, and AI/ML teams to deliver high-quality experiences.
Instrument product usage, latency, and user interaction metrics to continuously improve AI UX.
Propose innovative solutions to complex problems with minimal guidance.
Maintain strong engineering standards for accessibility, security, observability, and performance.
Stay current with evolving frontend, AI UX, and conversational-interface design patterns.

Bachelor's degree in computer science, Software Engineering, or related field.
6+ years of experience in front-end application development.
Strong expertise in React, HTML5, CSS3, JavaScript/TypeScript, and modern build tools such as webpack or Rspack.
Experience building scalable frontend architectures, including micro-frontends where relevant.
Hands-on experience creating production-grade UI for AI products or data-rich applications.
Experience integrating frontend applications with REST/GraphQL APIs and AI services.
Understanding of AI failure modes and how to design around them — timeouts, low-confidence outputs, hallucinations, and the fallback/moderation UX needed when models or retrieval fail.
Strong knowledge of accessibility, security, and performance best practices.
Experience with data visualization libraries such as Chart.js, D3, or Highcharts.
Experience building and deploying React applications and monitoring application performance.
Strong sense of product design and the ability to translate Figma designs into polished, responsive experiences.
Proficiency with Git and modern development workflows.
Ability to work in a fast-paced environment and manage multiple priorities effectively.

Awareness of token/cost-efficient prompt design and the frontend patterns used with multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI).
Familiarity with agentic tooling concepts — skills, rules/guardrails, and MCP integrations — and how they surface in frontend UX.
Familiarity with analytics, experimentation, and product telemetry for AI features.
UI test automation, preferably using Playwright.
Experience with enterprise SaaS or workflow software.
Familiarity with Docker for local development environments

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