﻿---
title: "AI SEO Engineer"
company: "Weekday AI"
job_type: "Full Time"
location: "Pune, Maharashtra, India"
salary: ""
posted: "2026-09-20"
url: "https://www.seojobs.com/job/ai-seo-engineer-weekday-ai/"
apply_url: "https://apply.workable.com/weekday-1/j/89BFA166A9"
categories:
  - "Mid Level SEO Jobs"
  - "SEO Analytics Jobs"
  - "SEO Manager Jobs"
  - "SEO Strategist Jobs"
  - "Technical SEO Jobs"
  - "In-house SEO jobs"
  - "SEO Contractor Jobs"
  - "GEO/AI + LLM Jobs"
tags:
  - "In-office/Hybrid Jobs"
  - "IN"
source: "geo_sync"
---

# AI SEO Engineer

**Company:** Weekday AI

**Location:** Pune, Maharashtra, India

**Job type:** Full Time

**Posted:** 2026-09-20

**Apply:** [https://apply.workable.com/weekday-1/j/89BFA166A9](https://apply.workable.com/weekday-1/j/89BFA166A9)

---

**Description**

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟯𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟭𝟯 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Pune, Maharashtra, India

Job Type: Full-time

We are looking for an experienced and forward-thinking **AI SEO Engineer – Search Everywhere Builder** to drive the next generation of enterprise SEO through a combination of **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 across **content, keyword ecosystems, information architecture, search intent, topical authority, and organic growth**.
- Develop and execute **Search Everywhere** 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 and **GEO best practices, governance frameworks, and AI-first operating models** for scalable execution.
- Build and deploy **AI agents, automation workflows, and pipelines** 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

- **3–5 years of hands-on Enterprise SEO experience**, ideally managing large-scale websites and demonstrating measurable impact on organic growth and business outcomes.
- Strong expertise in **SEO, keyword strategy, information architecture, search intent mapping, topical authority, and internal linking**.
- Strong understanding of **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 of **Google Search, AI Search, LLMs, and Generative Engine Optimization (GEO)**.
- Hands-on experience with enterprise SEO platforms such as **SEMrush, Ahrefs, and Moz**.
- Experience using **AI/LLM platforms, agentic frameworks, and automation tools** 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 in **AI-native SEO, automation, agentic systems, and the evolving search ecosystem**.
