Live opening · Posted 7 hours ago

AI/ML Engineer - GEO / AEO projects (GB03 / GB04)

Bajaj Finserv · Pune District, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyBajaj Finserv
LocationPune District, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

Roles & Responsibilities
Design, develop, and deploy production-grade AI/ML and Generative AI solutions.
Work on GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search engines 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 business requirements into scalable AI solutions.
Monitor solution performance and continuously improve accuracy, relevance, latency, and overall user experience.
Ideal Candidate
Mandatory Experience
Overall Experience: Minimum 2 years of professional experience, including at least 1 year in GEO/AEO-related work.
GEO/AEO/SGE Experience: Minimum 1 year of hands-on experience in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or Search Generative Experience (SGE), including optimization for AI-driven search interfaces, conversational queries, and generative search experiences.
Hands-on Technical Experience: Experience with prompt engineering, embeddings, vector search, or RAG-based systems.
Mandatory Skills
Search & Optimization: Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization.
AI/LLM Platforms: Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, with an understanding of how responses are generated and ranked.
Content Structuring: Understanding of content structuring for AI consumption, including schema, context building, and knowledge representation.
Mandatory Education
7. Qualification: BE/B.Tech or a dual degree — B.Tech + M.Tech, or an integrated MSc/MS.

Work arrangement
No

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