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

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
- 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 exposure to prompt engineering, embeddings, vector search, or RAG-based systems
- Mandatory (Skills 1): Deep understanding of how up-to-date search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization
- Mandatory (Skills 2): Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, including understanding of how responses are generated and ranked
- Mandatory (Skills 3): Understanding of content structuring for AI consumption (schema, context building, knowledge representation)
- Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, NITs, VIT, BITS, DTU, NSUT)
- Mandatory (Company) - Only Top product companies with high scale (Tier2 companies wont be considered)
- Mandatory (Note) - Output of Candidate's work on AI Engineering for GEO should also be mentioned in resume

Key Skills: AI/ML, Generative AI, AEO, GEO, SGE, LLM

📌 AI/ML Engineer (Pune)
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