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AI GEO Engineer (GB03 / GB04)

AI GEO Engineer (GB03 / GB04)

BAJAJ FINSERV HEALTH
2-4 Years
Early Applicant
  • Posted 20 hours ago
  • Be among the first 10 applicants

Job Description

About the Role

We are looking for a strong AI/ML Engineer with hands-on experience in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or Search Generative Experience (SGE). The ideal candidate will combine AI/ML engineering expertise with a deep understanding of AI-powered search, LLM-based experiences, and content discoverability.

Key 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 solutions using LLMs, NLP, semantic search, embeddings, RAG, and vector databases.
  • Analyze search intent, AI-generated responses, retrieval patterns, citations, and content discoverability to identify optimization opportunities.
  • Build experiments and frameworks to measure the effectiveness of GEO/AEO strategies and AI search performance.
  • Collaborate with Product, Engineering, Content, SEO, Marketing, and Business teams to translate requirements into scalable AI solutions.
  • Monitor and improve solution performance across accuracy, relevance, latency, discoverability, and user experience.

Mandatory Requirements

  • 2+ years of professional experience, including at least 1+ year of experience in GEO/AEO/SGE-related work.
  • 1+ year of hands-on experience in GEO, AEO, or SGE, particularly optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.
  • Hands-on experience with prompt engineering, embeddings, vector search, and/or RAG-based systems.
  • Strong understanding of how modern search engines and AI systems retrieve, rank, and generate responses, including semantic search and entity-based optimization.
  • Experience with AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, with an understanding of how AI-generated responses are produced and ranked.
  • Understanding of content structuring for AI consumption, including schema, context building, and knowledge representation.
  • Strong AI/ML Engineering background with practical experience building and deploying AI/ML solutions.
  • Education: BE/B.Tech or a Dual Degree such as B.Tech + M.Tech, Integrated M.Sc./M.S. only.

Preferred Profile

  • Experience working on high-scale AI, search, or consumer-facing products.
  • Strong analytical and experimentation mindset with the ability to measure and improve AI search performance.
  • Ability to work cross-functionally with AI/ML, SEO, Content, Product, and Engineering teams.
  • Strong understanding of emerging Generative AI and AI Search trends.

More Info

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Key Skills

embeddings

LLM-based experiences

LLMs

AI-powered search

content discoverability

RAG

vector databases

prompt engineering

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Skills:
SchemaAI MLNlpembeddingsSearch EnginesGenerative AILLMsAI rankingentity optimizationGoogle GeminiKnowledge Representationvector databasesVector SearchAI-generated responsesChatGPTSGEcontext buildingRAGGEO AEOPrompt Engineeringsemantic searchAI-friendly content structuring