Company: Client of Turning Point Career

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product

Business Model: B2B2C

Funding Stage: IPO/Public

Industry: FinTech

Job Description

We are looking for an AI/ML Engineer

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.
Work on 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 business requirements into scalable AI solutions.
Monitor model and solution performance and continuously improve accuracy, relevance, latency, and overall user experience.

Ideal Candidate

Robust AI/ML Engineer profile with experience in GEO work
Mandatory (Experience 1): Must have 1+ years of experience in rank modelling for GEO
Mandatory (Experience 2): Must have 1+ 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.
Mandatory (Experience 3): Must have hands-on exposu

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