Senior AI GEO Engineer (Generative Engine Optimization & Conversational Relevance)

A premium, tier-one retail financial services institution is seeking a highly sophisticated Senior AI GEO Engineer to join its core intelligent automation group. The ideal candidate will have 4 to 7 years of specialized experience operating at the intersection of advanced Natural Language Processing (NLP), semantic search relevance engineering, and large-scale data science frameworks [INDEX: 1.1.1]. You will own the strategic pipeline for Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), constructing state-of-the-art context retrieval systems, fine-tuning retrieval scoring parameters, and mapping deep textual frameworks to maximize corporate brand visibility across conversational AI platforms [INDEX: 1.1.1]. This mandate strictly requires a premier academic background from an elite national engineering institute.Core Responsibilities

• Architect, evaluate, and scale production-grade Generative Engine Optimization (GEO) models, ensuring institutional content arrays index seamlessly into global LLM ecosystems [INDEX: 1.1.1].
• Design advanced query understanding layers, vertical intent classifiers, and semantic routing components to map context matching across high-velocity financial portfolios.
• Construct complex document-chunking pipelines, thread-safe knowledge graphs, and hybrid vector storage systems (combining sparse and dense search methodologies) to mitigate model hallucinations.
• Lead Supervised Fine-Tuning (SFT), model weight optimization, and quantization routines to deploy high-efficiency neural architectures.
• Establish robust automated text valuation and relevance scoring algorithms, tracking model precision benchmarks via strict cross-validation testing.
• Partner with infrastructure teams to maintain high-throughput feature ingestion lanes, while guiding junior data scientists on neural ranking architectures.

Required Experience and Qualifications

• Total Experience: Non-negotiable 4 to 7 years of full-time, hands-on professional industry tenure operating as an NLP Data Scientist or AI Systems Engineer [INDEX: 1.1.1].
• Elite Pedigree: Bachelor's or Master's degree in Computer Science, Data Science, or an equivalent engineering discipline strictly from a Tier-1 University (IIT, IISc, NIT, BITS Pilani, DTU, or NSUT).
• Specialized Technical Stack: Deep mastery of Python, advanced statistical modeling, transformer architectures, text mining tools, and high-scale vector indexing databases.
• Search Relevance Depth: Verified background engineering search algorithms, query expansion modules, document ranking systems, or large-scale semantic information retrieval engines.
• Infrastructure Footprint: Solid practical familiarity with containerized microservices deployments, automated data scheduling systems, and cloud-native machine learning lifecycles.

What We Offer

• Premium compensation scale matching executive bands in the retail fintech landscape.
• Greenfield development ownership in a high-priority, AI-native research environment.
• Access to high-compute multi-node infrastructure setups.

Pay: ₹1,800,000.00 - ₹2,700,000.00 per year

Benefits:

• Flexible schedule
• Leave encashment
• Provident Fund

Work Location: In person