Analytics and AI Integration Engineer
Posted 2026-09-17 · Verified live 2026-09-17
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<p>Who We Are<br>CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product “CXAI” (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work ‘fromanywhere’ world for employees, partners, customers, and visitors. </p>
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<p>We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.</p>
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<p>Job Description:</p>
<p>As an Analytics and AI Integration Engineer at CXAPP, you will play a crucial role in integrating AI capabilities into our systems, optimizing performance, and ensuring the seamless deployment of AI models. You will work with cross-functional teams to enhance our cloud services and testing methodologies to deliver high-quality AI-driven solutions.</p>
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<p>Key Responsibilities:</p>
<ol>
<li>AI Integration: Collaborate with data scientists and AI developers to integrate AI models into our applications and systems, ensuring proper functionality and performance.</li>
<li>Analytics: Implement data analytics solutions to gather insights, monitor system performance, and drive data-driven decision-making.</li>
<li>Cloud Services: Leverage cloud platforms (e.g., AWS, Azure) to deploy and manage AI services and applications efficiently.</li>
<li>AI Model Deployment: Deploy AI models in production environments, monitoring their performance and scalability.</li>
<li>Performance Optimization: Optimize the performance of AI-integrated systems, including latency reduction and resource management.</li>
<li>Testing: Develop and execute testing strategies to validate the functionality and reliability of AI and analytics solutions.</li>
<li>Documentation: Maintain clear and comprehensive documentation of integration processes, performance optimizations, and test cases.</li>
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<p>Qualifications:</p>
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<li>Bachelor's degree in Computer Science, Data Science, or a related field.</li>
<li>Proven experience as an engineer working on AI integration and analytics projects.</li>
<li>Strong understanding of AI concepts, machine learning models, and cloud services.</li>
<li>Proficiency in AI model deployment and management.</li>
<li>Knowledge of performance optimization techniques.</li>
<li>Experience with testing methodologies and tools.</li>
<li>Proficiency in programming languages like Python, Java, or relevant languages.</li>
<li>Strong problem-solving and analytical skills.</li>
<li>Excellent communication and collaboration skills.</li>
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<p>Benefits:<br></p>
<ul>
<li>Competitive salary and performance-based bonuses.</li>
<li>Comprehensive health, dental, and retirement plans.</li>
<li>Opportunities for professional development and growth.</li>
<li>A dynamic and collaborative work environment.</li>
<li>The chance to work on cutting-edge AI projects with a talented team.</li>
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<p>Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.</p>
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