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    Junior React Developer - Chicago, United States - Patterned Learning AI

    Patterned Learning AI
    Patterned Learning AI Chicago, United States

    1 week ago

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    Description

    Job Description
    Junior React Developer - Remote Job, 1+ Year Experience

    Annual Income: $60K - $65K, Onsite

    A valid work permit is necessary in the US/Canada

    About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

    Responsibilities:


    • Develop and implement high-quality, scalable, and maintainable React components for our web applications.
    • Collaborate with the development team to translate design mock-ups into functional features.
    • Participate in code reviews and provide constructive feedback to enhance the overall code quality.
    • Debug and resolve software defects and issues.
    • Stay updated with the latest industry trends and best practices in front-end development.
    Requirements:


    • Proficiency in HTML, CSS, and JavaScript.
    • Strong understanding of React and its ecosystem.
    • Experience working with RESTful APIs and integrating backend services.
    • Familiarity with version control systems (e.g., Git).
    • Good problem-solving and analytical skills.
    • Excellent communication and collaboration abilities.
    • Ability to learn quickly and adapt to new technologies and frameworks.
    Why Patterned Learning LLC?

    Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

    The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks.

    These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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