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Strong employer brand, metro location, and broad sought skills drive high applicant competition.
Role requires niche web-performance, AEM, CDN, and autonomous-ML experience making cross-industry fit limited.
Multiple mandatory specialized skills and production ML/AI requirements create high shortlisting rigor.
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Deploy and refine AI-powered autonomous systems to optimize web performance and infrastructure without manual intervention.
Develop and integrate machine learning models and large language models (LLMs) for continuous web optimization, code-level improvements, and performance diagnostics.
Collaborate with engineering teams to embed AI capabilities into platforms like Adobe Experience Manager and Site Optimizer, leveraging data-driven insights and predictive analytics.
Strong foundation in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and LLMs (e.g., ChatGPT, Claude, Gemini).
Proficiency in front-end engineering technologies (HTML, CSS, JavaScript, Java) and CMS platforms like Adobe Experience Manager.
Experience integrating AI into web performance workflows, with knowledge of browser performance, caching, CDN tuning, and Real User Monitoring (RUM) tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and deploying AI-driven autonomous systems optimizing web performance at scale, preferably for large or Fortune 500 digital platforms.
Skilled in using LLM-based SEO and AI-enhanced observability platforms to improve user engagement and SEO metrics.
Comfortable working in cross-functional teams embedding AI into complex web ecosystem platforms and autonomous agent development.