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Senior Backend Engineer - Platform


Full time


About the Role

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.


  • Innovate, build, and invent on the behalf of our customers. Plan, execute and maintain entire products/features which millions of customers will experience. 

  • Ability to design and code the right solutions starting with broadly defined problems.

  • Drive best practices and engineering excellence. 

  • Work with other team members to develop the architecture and design of new and current systems. 

  • Work in an agile environment to deliver a high-quality Product. 


  • Bachelors or above in Computer Science, Electronics or related fields from the top 20colleges or relevant work experience with a top technology company. 

  • Minimum 4 years of backend experience. Experience in at least one higher-level language, preferably Python.

  • Experience in Django is highly desirable Good understanding of relational databases, data management, and REST API design.

  • Some machine learning experience in the context of NLP would be preferable.

  • Excellent problem-solving skills. 

  • Possess an extremely sound understanding of areas in the basic areas of Computer Science such as Algorithms, Data Structures, Object Oriented Design, Databases.

  • Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.

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