We are looking for an AI/ML Engineer with 5+ years of experience in AI/ML, Python, NLP, and Generative AI, with hands-on expertise in LLMs, RAG, and AI-powered search. The ideal candidate should have experience in GEO/AEO, search ranking, semantic search, and optimizing AI-driven search and generative experiences.
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.
Strong AI/ML Engineer profile with experience in GEO work
Must have 5+ years of experience in rank modelling for GEO
Must have 5+ year 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.
Must have 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, including understanding of how responses are generated and ranked
Understanding of content structuring for AI consumption (schema, context building, knowledge representation)
B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS).
Key Skills:
Graphic Design, AI/ML Engineering, Generative AI, GEO, AEO, SGE, LLMs, NLP, Python, RAG, AI Search