Full Stack SW Engineer || Suitable AI

Job Title: Full Stack SW Engineer

Location: Bangalore (Remote)

Job Description:

  • Collaborate with cross-functional teams to design, develop, and implement new features for the Copilot system.
  • Write clean, efficient, and maintainable code for both front-end and back-end components of our AI-driven application.
  • Integrate AI and machine learning models into the existing software architecture.
  • Optimize application performance and scalability to handle large-scale data processing and real-time AI interactions.
  • Implement robust testing strategies, including unit tests, integration tests, and end-to-end tests.
  • Participate in code reviews and contribute to improving our development processes and best practices.
  • Stay up-to-date with emerging technologies and industry trends, particularly in AI and machine learning integration.
  • Troubleshoot, debug, and upgrade existing software systems.
  • Develop and maintain technical documentation for software components and APIs.

Skills & Requirements:

  • Strong proficiency in full-stack development, including front-end technologies (e.g., React, Angular, or Vue.js) and back-end technologies (e.g., Node.js, Python, or Java).
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
  • Solid understanding of database technologies, both SQL and NoSQL.
  • Familiarity with AI and machine learning concepts, and experience integrating AI models into software applications.
  • Strong knowledge of software design patterns, data structures, and algorithms.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.
  • Excellent problem-solving skills and ability to optimize code for performance and scalability.
  • Strong communication skills and ability to work effectively in a collaborative environment.
  • Experience with Agile development methodologies.
  • Knowledge of security best practices in software development.
  • Familiarity with RESTful APIs and microservices architecture.

Education and Experience:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • 5+ years of experience in full-stack software development, with a focus on B2B SaaS products.
  • Demonstrated experience in developing and deploying AI-driven applications.

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