Senior AI/ML Engineer

Job Description: Senior AI/ML Engineer GEO/AEO (GB05)

Company: Intuit
Band / Level: GB05
Total Openings: 2 Positions
Experience Required: 57 Years
Location: Pune (In-Office • 5 Days/Week)
Compensation (CTC): 18,00,000 30,00,000 PA (83% Fixed + 17% Variable)
Max Notice Period: 30 Days

About the Role

We are seeking a Senior AI/ML Engineer specializing in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and Search Generative Experience (SGE). In this role, you will design, build, and deploy production-grade AI/ML pipelines and RAG-based systems. You will engineer rank modeling techniques, semantic search architectures, and content structuring frameworks to maximize brand discoverability across next-generation generative search engines and conversational LLM platforms.

Key Responsibilities

• Generative & Answer Engine Optimization: Architect and drive GEO, AEO, and SGE initiatives to optimize brand visibility across AI search interfaces, conversational query systems, and LLM-driven experiences.
• AI/ML Solution Engineering: Design, build, and deploy production-grade AI/ML models leveraging LLMs, Natural Language Processing (NLP), semantic search, embeddings, RAG architectures, and vector databases.
• Rank Modeling & Retrieval Analytics: Analyze search intent, LLM retrieval patterns, citation mechanisms, and ranking signals to build predictive rank modeling for generative engines.
• Framework Development: Build experiment pipelines and evaluation frameworks to measure GEO/AEO efficacy, response generation latency, accuracy, and retrieval performance.
• Cross-Functional Integration: Partner with Product, Engineering, SEO, Content, and Marketing teams to translate business requirements into scalable, structured data and context-building architectures.

Mandatory Candidate Requirements

• Experience:
  5+ years of core experience in Rank Modeling for GEO.
  5+ years of hands-on experience in GEO, AEO, or SGE, optimizing for conversational search engines and LLM-driven interfaces.
• Technical Stack:
  Direct hands-on experience with Prompt Engineering, Embeddings, Vector Search, and RAG architectures.
  Deep operational understanding of modern search generation ecosystems (ChatGPT, Google Gemini, Perplexity) and how LLMs generate, retrieve, and rank responses.
  Expertise in content structuring for AI consumption (Schema, Knowledge Graphs, entity-based optimization, context building).
• Education: B.Tech or Dual Degree (B.Tech + M.Tech / Integrated MS) from Tier-1 Engineering Institutes (IITs, NITs, BITS, VIT, DTU, NSUT).
• Company Background: Must come exclusively from Top-tier, high-scale Product Companies (Tier-2 companies will not be considered).
• Resume Requirement: Candidate resumes MUST explicitly outline measurable engineering outputs/deliverables related to their AI Engineering work for GEO.

Selection Process

1. Underwriting Call
2. 3 Technical & System Design Evaluation Rounds
3. HR Discussion
4. Background / Criminal Verification Check