Senior FullStack Engineer - AI (Delhi, India)

Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.

As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.

Core Competencies :  Python-Django, React, OOP, DS, Algorithm, Relational and Non-Relational Databases, Caching, GCP
Responsibilities
  • Build slick responsive interfaces for our AI tools to deliver the best customer experience
  • Responsible for the end-to-end development of features and tools.
  • Build cutting edge web interfaces for customer-facing tools and features
  • Translate designs and wireframes into high-quality full-stack code
  • Develop new features using React and backend tools (Django, NodeJS)
  • Build reusable components and front-end libraries for future use.
  • Build RESTful API layer access to our backend system.
  • Requirements
  • Bachelor’s degree in Engineering with a minimum of 3-6 years of Fullstack development experience.
  • Familiarity with ML workflow (training, testing, deployment) is a plus, for understanding development requirements.
  • 2+ years of experience in webapp development.
  • Bachelor's degree in Computer Science, or related fields.
  • Strong proficiency in JavaScript, HTML, and CSS.
  • Thorough understanding of React and its core front-end principles.
  • Strong proficiency in Django framework in Python.
  • Experience developing RESTful APIs with GraphQL is a plus
  • Experience working with relational databases such as Postgres or MySQL.
  • Compensation:
    We offer market-leading compensation, based on the skillset and aptitude of the candidate.
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