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    Job · 10974749

    Sarvam AI logo

    Senior Frontend Engineer - Arya

    Sarvam AI · Bengaluru · onsite · Posted 71d ago

    Not disclosed3–5 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    About Sarvam.ai

    Sarvam.ai is at the forefront of India's AI revolution, dedicated to building transformative technologies that empower users and redefine digital interactions. Our mission is to develop intelligent systems that seamlessly integrate into everyday workflows, enhancing productivity and user experience.

    About The Role

    We are looking for a Senior Frontend Engineer to join our team building cutting-edge AI agent interfaces. You will architect and deliver production-grade web applications using Next, React, and TypeScript in a modern monorepo architecture. This role requires high autonomy, the ability to ship fast without compromising quality, and thriving in ambiguity while building AI-powered products at scale.

    What You'll Work On

    • Architect scalable frontend systems using Next, React, and TypeScript in a Turborepo monorepo
    • Design and maintain shared component libraries using shadcn/ui patterns and Radix UI primitives
    • Build sophisticated AI agent interfaces including conversational UIs
    • Optimize for performance: Core Web Vitals, bundle size, runtime performance, and perceived speed
    • Implement responsive, accessible designs that work seamlessly across devices
    • Integrate with backend services handling real-time data, streaming responses, and state synchronization

    Required Skills

    Must Have

    • React & Next.js - 3+ years frontend experience, expert React (including Server Components, Actions), production Next.js App Router experience
    • TypeScript - Deep expertise with advanced types, generics, conditional types, strict mode
    • Modern CSS - Tailwind CSS (preferably v4), responsive design, animations
    • State Management - Advanced experience with Jotai atoms, TanStack Query for server state/caching, React Hook Form + Zod
    • Monorepo - Hands-on experience with Turborepo, pnpm workspaces, or similar
    • Component Systems - Experience building design systems with shadcn/ui, Radix UI, or similar headless libraries
    • Performance - Proven track record optimizing bundle size, render performance, Core Web Vitals
    • API Integration - REST APIs, WebSockets, SSE (Server-Sent Events), real-time data synchronization

    Nice to Have

    • Experience building AI/ML product interfaces (chat interfaces, streaming responses)
    • Motion/animation expertise (Framer Motion)
    • Browser automation & E2E testing (Playwright, Cypress)
    • Advanced TypeScript patterns (mapped types, template literal types, branded types)
    • CI/CD pipeline experience, containerization (Docker, Kubernetes)
    • Monitoring and observability (Sentry, DataDog, LogRocket)

    Sourced from foundit

    Skills

    Next.jsModern CSSPerformanceMonorepoTypescriptComponent SystemsReact.JsState ManagementAPI Integration

    About Sarvam AI

    Sarvam AI logo

    Sarvam AI

    Bengaluru

    IN

    About

    Sarvam AI develops AI infrastructure, models, and applications designed to support Indian languages and enterprise use cases. Sarvam AI develops artificial intelligence infrastructure, models, and applications designed to support Indian languages and enterprise use cases. Its platform provides capabilities such as text-to-speech, speech-to-text, translation, document digitization, dubbing, and conversational AI through APIs and deployable products. The company builds and operates a full-stack AI ecosystem that includes foundational models, application-layer tools, and infrastructure for serving AI workloads at scale. Sarvam’s offerings are used by enterprises, government organizations, and developers to automate workflows, process multilingual content, and enable AI-powered interactions across diverse linguistic contexts. The company also develops language and multimodal models tailored to Indian languages and regional requirements, with support for deployment in cloud, private cloud, on-premises, and air-gapped environments.

    Industries

    Artificial Intelligence (AI)Generative AISoftware

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