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Smarter.Codes

Unified NLP engine with CommonSense reasoning

Full-Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • A few years of experience, or fresh college graduates with several years of programming experience during college; dropouts are welcome.
  • At least five decent-sized projects coded independently without teammates.
  • Experience using Linux desktops and Linux terminals for coding.
  • Ability to confidently understand technical documentation.
  • Willingness to study and practice the company's Engineering Handbook after joining.
  • Ability to work on Linux systems.
  • Good programming skills, preferably with the MERN stack and Python.
  • Basic DevOps knowledge.
  • An attitude of acknowledging uncertainty and seeking certainty.
  • Availability for a minimum of 40 working hours per week.

Responsibilities

  • Understand requirements handed over to you.
  • Translate requirements into architecture or contribute to provided architecture.
  • Write detailed tasks in the issue tracker, including subtle implementation steps.
  • Write frontend, backend, and DevOps code.
  • Test code.
  • Deploy code on servers.
  • Study and practice the Engineering Handbook on dummy projects or contribute to it.

Desired Qualifications

  • Contribution to an open-source project.
  • Exposure to microservice architecture.

About the Company

Smarter.Codes

Unified NLP engine with CommonSense reasoning

Smarter.Codes focuses on building a unified algorithm architecture to achieve human-level intelligence in language. Its core product idea is a next-generation NLP engine that relies on CommonSense reasoning and advances in natural language understanding. It uses Thought Vectors / Language Vectors to capture context and meaning in language, enabling more accurate interpretation of user input. How it differs from competitors is in its emphasis on a single, cohesive algorithmic framework guided by CommonSense reasoning and context-aware representations rather than relying on fragmented approaches. The company’s goal is to create a language intelligence system that understands and reasons about language like humans, enabling more capable and reliable language-based AI applications.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Encinitas, CA
Founded
2014

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