Software Engineer (New Gard) at Cimba.ai

About the job

Company Description

Cimba.AI is the Gen-AI-native platform that gives enterprises the power to create custom adaptive AI agents. These agents produce deep insights and recommend and trigger business actions based on internal data and a knowledge base. The platform leverages self-training artificial intelligence, which learns and adapts to an organization’s unique knowledge base, such as dashboards, query history, metadata, and playbooks. This provides business decision makers with customizable AI agents that generate insights and recommended next steps based on their data.

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Role Description

This is a full-time software engineering role at Cimba.AI based out of Kolkata. As a Software Engineer, you will be responsible for developing and maintaining software applications. Your primary focus will be on designing and implementing high-quality, efficient, and scalable code. This role is located in the Greater Kolkata Area and requires on-site presence.

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Qualifications

  • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
  • Proficiency in at least one programming language like Java, Python, C++, or C#
  • Experience with software development methodologies and best practices
  • Knowledge of data structures and algorithms
  • Strong problem-solving and analytical skills
  • Good communication and collaboration skills
  • Ability to work independently and in a team
  • Experience with version control systems (e.g., Git)
  • Familiarity with agile development methodologies
  • Experience with cloud platforms and technologies (e.g., AWS, Azure) is a plus

CTC: 4.2 lpa to 15 lpa + ESOP

About the company

Software Development  11-50 employees
Cimba.AI, the Gen-AI-native platform that gives enterprises the power to create custom adaptive AI agents that can produce deep insights and recommend and trigger business actions based on internal data and knowledge base. The platform leverages self-training artificial intelligence that learns and adapts to an organization’s unique knowledgebase(i.e., dashboards, query history, metadata, playbooks, etc.), providing business decision makers with customizable AI agents that generate both insights and recommended next steps to take based on their data (i.e., Snowflake)

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