About the Role

We are looking for an Engineer-to-SEO professional who combines strong technical understanding with expertise in SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO).

The ideal candidate will be responsible for improving content and data discoverability across AI-powered search engines, LLM platforms, and generative interfaces, while applying both technical SEO and emerging AI search optimization strategies.

Key Responsibilities

- Build and optimize AI-first content and data pipelines to improve visibility across LLM-powered platforms.
- Design and implement Generative Engine Optimization (GEO) strategies for next-generation AI search.
- Develop strategies around prompt optimization, retrieval structuring, semantic ranking, and content relevance.
- Optimize structured and unstructured data for LLM ingestion, including RAG pipelines, embeddings, and metadata tagging.
- Analyze how AI systems discover, retrieve, cite, and surface content and continuously improve AI search visibility and ranking signals.
- Implement Answer Engine Optimization (AEO) strategies to improve visibility in direct-answer and conversational search experiences.
- Collaborate with Marketing, Product, Content, Engineering, and SEO teams to make content AI-consumable and discoverable.
- Analyze search intent, query patterns, content performance, and AI-generated responses to identify optimization opportunities.
- Monitor AI search performance using relevant AI analytics and SEO tools and continuously refine strategies based on data and user behavior.
- Stay updated on developments in LLMs, generative search, AI agents, semantic search, and AI-driven discovery.

Mandatory Requirements





- Strong Engineer-to-SEO profile combining technical/engineering knowledge with hands-on SEO experience.
- 4+ years of overall professional experience, including meaningful hands-on experience in SEO.
- 1+ year of hands-on experience in GEO, AEO, or AI-driven search optimization, including conversational and generative search experiences.
- Strong understanding of SEO, GEO, AEO, semantic search, entity optimization, query intent, content relevance, and AI/LLM-based ranking.
- Understanding of how generative engines retrieve, evaluate, rank, and surface information in AI-generated responses.
- Good understanding of LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms.
- Strong analytical mindset with the ability to interpret search behavior, AI outputs, ranking signals, and content performance.
- Education: B.Tech, B.E., or equivalent engineering degree.
- Candidates should have experience in digital-first companies, consumer technology, fintech, SaaS, or marketing agencies with strong exposure to search and content optimization.

Preferred Skills

- Experience with RAG, embeddings, vector search, metadata, structured data, and knowledge representation.
- Familiarity with technical SEO, schema markup, content architecture, and semantic optimization.
- Exposure to AI/SEO analytics platforms and tools for monitoring AI search visibility and performance.
- Experience working cross-functionally with Engineering, Product, Marketing, Content, and SEO teams.

Ideal Candidate The ideal candidate is a technically strong SEO skilled who understands both traditional search and the emerging world of AI-powered discovery. They should be able to bridge the gap between engineering, SEO, content, and Generative AI to improve how brands and information are discovered across modern search and LLM platforms.

📌 GEO Specialist (AI, GEO, AEO)/ 04 (Pune)
🏢 Bajaj FinServ
📍 Pune