Roles & Responsibilities:

- Design, develop, and deploy production-grade AI/ML and Generative AI solutions.

- Drive GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search and generative interfaces.

- Optimize content, data, and digital experiences for AI-powered search, conversational queries, and LLM-based experiences.

- Develop and implement solutions using LLMs, NLP, semantic search, embeddings, RAG, vector databases, and information retrieval.

- Analyze search intent, AI-generated responses, retrieval patterns, citations, ranking signals, and content discoverability to identify optimization opportunities.

- Build experiments, evaluation frameworks, and measurement approaches to assess GEO/AEO effectiveness and AI search performance.

- Collaborate with Product, Engineering, Content, SEO, Marketing, and Business teams to translate business requirements into scalable AI solutions.

- Monitor AI/ML solution performance and continuously optimize accuracy, relevance, latency, scalability, and user experience.

- Stay updated with developments in Generative AI, AI Search, LLMs, GEO, AEO, SGE, and emerging search technologies.

Ideal Candidate:

- Strong AI/ML Engineer profile with experience in GEO work.

- 5+ years of experience in rank modelling for GEO.

- 5+ years of experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or SGE (Search Generative Experience), including optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.

- Hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems.

- Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization.

- Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms.

- Understanding of content structuring for AI consumption (schema, context building, knowledge representation).

- B.Tech or Dual degree from Tier 1 Engineering Institutes (IITs, NITs, VIT, BITS, DTU, NSUT).

- Experience in top product companies with high scale.