• Sr. JavaScript Engineer

    Insight Global (Madison, NJ)


    Job Description

    Join our leading real estate customer's technology team to architect and build AI-powered real estate applications with

    a primary focus on JavaScript. The ideal candidate excels in building scalable, maintainable, and

     

    high-performance applications using modern JavaScript frameworks and patterns. A strong

    understanding of web development best practices and deep experience in JavaScript is essential;

    AI integration experience is highly valued but not required. Experience with Flutter is a bonus.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • Expert programming and architecture proficiency with JavaScript (ES6+), and modern

     

    frameworks like React, Angular, or Vue.

     

    • Solid understanding of software architecture paradigms, design patterns, and front-end

     

    engineering best practices.

     

    • Experience with agile development methodologies and working on distributed teams.

    • Ability to collaborate on or implement basic AI/ML-driven features, especially those

     

    involving LLMs or RAG.

     

    • Exposure to developing or supporting data pipelines and text chunking strategies for

     

    enabling AI features.