AI SEO Engineer
Industry Technology & Software
Industry Technology & Software
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฑ-๐ญ๐ฏ ๐๐ฃ๐)
Experience: 2+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are looking for an experienced and forward-thinkingย AI SEO Engineer โ Search Everywhere Builder ย to drive the next generation of enterprise SEO through a combination ofย SEO expertise, engineering, AI, automation, and agentic technologies .
The ideal candidate will be an SEO-first professional who thinks like an engineer and can transform search requirements into scalable, automated, and production-ready digital experiences. You will focus on improving discoverability and organic growth across traditional search, AI-powered search, social platforms, marketplaces, video platforms, and other emerging search ecosystems.
Requirements
KEY RESPONSIBILITIES - Lead enterprise SEO strategy acrossย content, keyword ecosystems, information architecture, search intent, topical authority, and organic growth . - Develop and executeย Search Everywhere ย strategies across Google Search, AI search engines, LLMs, social search, marketplaces, video platforms, and internal search experiences. - Partner with Technical SEO, Product, Engineering, Content, Analytics, and UX teams to embed SEO throughout the product and content lifecycle. - Develop SEO andย GEO best practices, governance frameworks, and AI-first operating models ย for scalable execution. - Build and deployย AI agents, automation workflows, and pipelines ย to improve SEO productivity and reduce repetitive manual execution. - Leverage AI and automation to accelerate content production while maintaining quality, relevance, and governance standards. - Develop scalable strategies across multiple business verticals, website templates, content types, and customer journeys. - Strengthen internal linking, entity SEO, topical authority, programmatic SEO, and search intent optimisation. - Continuously research emerging changes in search engines, LLMs, AI search, and generative search experiences. - Prototype, test, measure, and productionise innovative SEO solutions and workflows. - Use data and search performance insights to identify opportunities for improved visibility, traffic, engagement, and business outcomes. - Collaborate with engineering teams to translate SEO requirements into scalable technical solutions. - Establish repeatable systems and processes that enable SEO execution at enterprise scale.
WHAT MAKES YOU A GREAT FIT - 3โ5 years of hands-on Enterprise SEO experience , ideally managing large-scale websites and demonstrating measurable impact on organic growth and business outcomes. - Strong expertise inย SEO, keyword strategy, information architecture, search intent mapping, topical authority, and internal linking . - Strong understanding ofย Entity SEO, Programmatic SEO, and Search Everywhere optimisation . - Experience developing and scaling SEO strategies across multiple business verticals, templates, content ecosystems, and customer journeys. - Deep understanding ofย Google Search, AI Search, LLMs, and Generative Engine Optimization (GEO) . - Hands-on experience with enterprise SEO platforms such asย SEMrush, Ahrefs, and Moz . - Experience usingย AI/LLM platforms, agentic frameworks, and automation tools ย to improve SEO workflows. - Comfortable working with programming or engineering technologies to build and scale SEO solutions. - Strong understanding of technical SEO principles and the ability to collaborate effectively with engineering teams. - Analytical mindset with the ability to interpret search data, identify opportunities, and measure SEO impact. - Strong experimentation mindset with the ability to rapidly prototype, test, learn, and productionise new solutions. - Ability to balance SEO quality, scalability, automation, and governance. - Strong communication and cross-functional collaboration skills. - A strong interest inย AI-native SEO, automation, agentic systems, and the evolving search ecosystem .