AI Lab - Full Stack Software developer

2 - 6 years

13 - 17 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position Summary:

Full Stack Developer

A Snapshot of your Day

How Youll Make an Impact (responsibilities of role)

  • Build and rapidly iterate compelling, high-quality, responsive web applications from concept to customer demo.
  • Experience in full stack web development using Typescript/JavaScript,

    React

    , HTML5 and CSS3

    ,

  • Develop robust and scalable back-end services using

    Node.js or Serverless

    to

    serve data and integrate with AI/ML models.
  • Develop interactive frontend visualizations in 2D/3D using modern web technologies.
  • Collaborate closely with AI scientists and domain experts to understand requirements and translate complex data into intuitive user interfaces.
  • Write clean, maintainable, and efficient code following industry best practices.
  • Participate in code reviews and provide constructive feedback to team members.

What You Bring

  • Bachelors degree in computer science or a related field, or equivalent practical experience.
  • Proven experience building rich, interactive frontends with

    React

    and TypeScript.
  • Hands-on experience with a 3D web graphics library (

    Three.js)

  • Experience building full-stack applications with Next.js, including creating backend logic using API Routes.
  • Experience with cloud-centric development and deployment (Azure); serverless backends (Azure Functions), Azure Storage and other common services.
  • Familiarity with DevOps tools and CI/CD pipelines.
  • Demonstrates enthusiasm, creativity in problem-solving, critical thinking, and effective communication in a distributed team environment.
  • Strong communication skills in English

Preferred Qualifications:

  • Experience with 3D modelling (Blender or equivalent)
  • Experience with Nvidia Omniverse, its Python SDK, and the Universal Scene Description (USD) format.
  • Experience interacting with AI/ML models or AI inference endpoints.
  • Familiarity with containerization using

    Docker

    .
  • Knowledge of authentication and authorization frameworks such as OAuth, JWT, and OpenID Connect.

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