Backend developer at Labellerr

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About the Company

Labellerr by Tensor Matics is a B2B SAAS training data platform for enterprises to build computer vision AI solutions in days instead of years. Our mission is to enhance AI adoption where domain experts and software developers should be able to build AI apart from data scientists and machine learning engineers. Currently, we are a 10+ member team in the US and India and 3+ years into business funded by Upekkha B2B SAAS accelerator, Startup India, and incubated by Google Cloud, Microsoft for startups, IIT Delhi, IIT Mandi, AWS for startups. We have users as small/large enterprises in the US, Israel, and India, such as Wadhwani AI (one of the world’s most recognized AI research institutes), Intuition Robotics, Yelee group, TripScout, Skintelligent, ScientiaMobile, Perceptly, MiraInsight, and more in domains, such as retail, manufacturing, adtech, agri, social good, etc. We have partnerships globally such as Databricks, GoodData, and more.



Backend developer 

Batch Eligible :



₹ 6LPA – 8LPA

Also Read : Software Engineer I at Stratus | Batch 2022, 2021

  • BE/B.Tech (Tier 1 preferred) in a programming discipline.
  • Min 6 months in saas product experience preferred
  • Open Source Contribution prefered
  • Community Participation preferred


  • Guide and contribute to the design and development of new features, help optimize and scale our application, and work within an agile development environment
  • Work on building both server-side logic (using Python/Node.js) or in general Javascript.
  • Report to Full stack lead and work on overseeing and performing code reviews on features developed by junior developers
  • Plan and contribute to all phases of the agile development lifecycle
  • Ensure the use of best practices (test-driven development, continuous integration, and code standards)
  • Test and maintain software products to ensure optimized functionality
  • Recommend and lead continuous adoption and integration of relevant new technologies
  • Write clean, maintainable, and efficient code to develop robust, scalable, and secure features

Hiring Process

  • 1 handson assignment with or followed by video technical round
  • 1 or 2 rounds of video google meet screening round
  • HR round


  • Chandigarh(India)

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