Description :

Roles & Responsibilities :

AI Search & Generative Engine Optimization :

- Build and optimize AI-first content and data pipelines to improve discoverability and visibility across Large Language Model (LLM) platforms and AI-driven search ecosystems.

- Design and implement Generative Engine Optimization (GEO) strategies to improve ranking and visibility within AI-generated search results and conversational interfaces.

- Drive Answer Engine Optimization (AEO) initiatives focused on improving direct answer-based discovery and AI response relevance.

- Optimize content, prompts, metadata, semantic structures, and contextual signals to improve AI search performance and ranking outcomes.

- Analyze how AI systems surface, retrieve, and rank content, and continuously improve optimization strategies based on evolving AI search behaviors.

Content, Data & AI Pipeline Optimization :

- Collaborate with product, content, and marketing teams to ensure content is AI-consumable, semantically structured, and optimized for AI retrieval systems.

- Work on prompt optimization, retrieval structuring, semantic ranking, embeddings, vector search, and RAG-based content optimization systems.

- Optimize structured and unstructured data for LLM ingestion including schema implementation, metadata tagging, contextual knowledge representation, and retrieval pipelines.

- Develop frameworks for AI-friendly content structuring to improve discoverability across platforms such as ChatGPT, Gemini, and other AI ecosystems.

- Monitor user search/query behavior and optimize content strategies to improve engagement, visibility, and AI response quality.

Analytics, Experimentation & Strategy :

- Conduct experiments on GEO, AEO, semantic search optimization, and AI content ranking methodologies.

- Use analytics tools, search insights, and AI performance metrics to evaluate ranking signals and optimize content discoverability.

- Stay updated on evolving AI search trends, LLM ecosystems, semantic search models, and AI-driven content discovery practices.

- Work closely with growth, marketing, and product teams to align AI search optimization strategies with customer acquisition and product-led growth objectives.

- Contribute to the development of scalable AI search optimization frameworks and best practices across digital ecosystems.

Ideal Candidate Criteria :

- 3+ years of experience in SEO or Technical SEO with at least 1+ year of experience in GEO, AI Search Optimization, AEO, or AI/ML-driven search optimization roles.

- Strong hands-on experience in SEO, AEO (Answer Engine Optimization), or Generative Engine Optimization (GEO) including content ranking, search visibility, and query optimization strategies.

- Good understanding of AI/LLM ecosystems such as ChatGPT, Google Gemini, and AI-driven search platforms, including how AI responses are generated and ranked.

- Experience working on content optimization, structured data, semantic search systems, metadata tagging, and discoverability frameworks.

- Strong understanding of the evolution from traditional SEO to AI-powered search optimization (SEO ? AEO ? GEO).

- Hands-on exposure to prompt engineering, embeddings, vector search, semantic retrieval, and RAG (Retrieval-Augmented Generation) systems.

- Ability to analyze user search behavior, intent patterns, and AI query trends to optimize content strategies.

- Strong understanding of AI-consumable content structuring including schema, context building, semantic tagging, and knowledge representation.

- Experience working with AI content tools, LLM APIs, AI analytics platforms, or AI-driven optimization workflows will be preferred.

- Exposure to growth marketing, performance marketing, product-led growth, or digital acquisition strategies will be an added advantage.

- Good understanding of AI evaluation metrics, ranking signals, and AI-driven search analytics.

- Candidates should come from digital-first companies, consumer tech, fintech, SaaS organizations, or marketing agencies with strong exposure to search and content optimization.

- MBA in Marketing OR BE/BTech in IT, Information Science, AI, ML, or related disciplines is mandatory.

- Female candidates are highly preferred.

- Candidates from Tier 2 or Tier 3 colleges with strong hands-on practical experience are encouraged to apply.

Perks, Benefits & Work Culture :

- Opportunity to work with one of Indias most diversified and fast-growing NBFCs.

- Exposure to cutting-edge AI search, GEO, and next-generation content optimization initiatives.

- Collaborative, innovation-driven, and growth-oriented work culture.

- Career growth opportunities across 500+ locations in India.

- Opportunity to work on large-scale digital transformation and AI-first initiatives.