รber diese Frontend Developer Stelle bei Weekday AI
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฌ-๐ฏ๐ฌ ๐๐ฃ๐)
Experience: 4+ yrs
Location: Bengaluru
Job Type: Full-time
We are looking for an experiencedย Frontend Engineerย to build modern, scalable, and intuitive user experiences forย AI-native products and intelligent digital workflows.
The role is suited for a strong frontend engineer with expertise inย React, JavaScript/TypeScript, HTML5, CSS3, and modern frontend architecture, combined with an interest in AI-powered product experiences. You will work on interfaces for AI assistants, copilots, intelligent search, recommendations, summarisation, and guided workflows.
The ideal candidate combines strong engineering fundamentals with product thinking and can translate complex AI capabilities into reliable, accessible, and user-friendly experiences.
Requirements
Key Responsibilities
- Design, develop, test, and optimise scalable frontend applications forย AI-native product experiences.
- Build intuitive interfaces for AI-powered workflows including copilots, assistants, intelligent search, recommendations, summarisation, and guided actions.
- Develop reusable, maintainable, and high-performanceย React components and frontend architectures.
- Integrate frontend applications withย REST/GraphQL APIs, LLM APIs, retrieval systems, and backend services.
- Translate product requirements and Figma designs into responsive, polished, and production-ready interfaces.
- Define component architecture, API contracts, edge cases, and technical implementation approaches.
- Own frontend architecture for assigned modules and contribute to scalable application design.
- Optimise applications for performance, reliability, accessibility, security, and maintainability.
- Design appropriate UX patterns for AI failure scenarios, including timeouts, low-confidence responses, hallucinations, retrieval failures, and fallback experiences.
- Implement application monitoring and instrumentation forย usage, latency, user interactions, and product performance.
- Build data-rich interfaces and visualisations using libraries such asย Chart.js, D3, or Highcharts.
- Collaborate with Product, Design, Backend, AI/ML, and other engineering teams to deliver features end-to-end.
- Participate in code reviews and maintain high standards for engineering quality and development practices.
- Support application deployment, production monitoring, troubleshooting, and continuous optimisation.
- Propose innovative technical solutions to complex problems and drive initiatives with minimal supervision.
- Stay current with emerging frontend technologies, AI UX patterns, conversational interfaces, and agentic application experiences.
What Makes You a Great Fit
- 4+ years of professional experienceย in frontend application development.
- Strong hands-on expertise inย React, JavaScript/TypeScript, HTML5, and CSS3.
- Experience with modern frontend build tools such asย Webpack, Rspack, or similar technologies.
- Strong understanding of scalable frontend architecture, component design, and application performance.
- Experience building production-grade interfaces forย AI products, SaaS platforms, workflow applications, or data-rich products.
- Hands-on experience integrating frontend applications withย REST/GraphQL APIs and AI services.
- Understanding of AI-specific failure modes and the ability to design appropriate frontend experiences around unreliable or uncertain AI outputs.
- Strong knowledge ofย accessibility, security, performance, observability, and responsive designย best practices.
- Experience with data visualisation libraries such asย Chart.js, D3, or Highcharts.
- Experience deploying and monitoring production React applications.
- Strong product sense with the ability to translateย Figma designs into polished user experiences.
- Proficiency with Git and modern software development workflows.
- Experience with frontend test automation, preferablyย Playwright.
- Familiarity with analytics, experimentation, product telemetry, and measuring AI feature performance.
- Awareness ofย AI agents, multi-agent frameworks, guardrails, MCP integrations, and agentic UX patternsย is an advantage.
- Familiarity with Docker for local development environments is a plus.
- Strong problem-solving, communication, collaboration, and ownership skills.
- Bachelor's degree inย Computer Science, Software Engineering, or a related disciplineย is preferred.