Artificial Intelligence Engineer

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

• Strong AI/ML Engineer profile with experience in GEO work
• Must have 1+ years of experience in rank modelling for GEO
• 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.
• 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: AI/ML, Generative AI, AEO, GEO, SGE, LLM