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Tier-1 brand, generic AI Engineer title, metro location, and broad mid-level skill requirements create high competition.
Core LLM, MLOps and cloud skills transfer across industries though payments experience is preferred, so medium sensitivity.
Extensive mandatory GenAI, LLMOps, MLOps, cloud and production deployment skills indicate high shortlisting strictness.
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Design, develop, and deploy scalable AI and Generative AI solutions including Large Language Models (LLMs), Agentic AI systems, and Retrieval-Augmented Generation (RAG) pipelines to improve pricing strategies and operational efficiency.
Build and maintain cloud-native AI/ML pipelines, backend services, APIs, and implement MLOps and LLMOps practices ensuring compliance with security, privacy, and governance standards.
Collaborate with global business, analytics, and technology stakeholders to identify AI opportunities, drive enterprise adoption, and translate business requirements into operational AI applications.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Engineering, Data Science, or related technical field.
Experience designing, developing, and deploying AI, Generative AI, or machine learning solutions in production environments, including hands-on work with LLMs and Agentic AI systems.
Strong programming skills in Python with experience in APIs, microservices, and production-ready AI application development.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in GenAI frameworks and ecosystems such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and open-source foundation models with deep understanding of prompt engineering, semantic search, and agent orchestration.
Proficient in cloud technologies including Azure, AWS, Databricks, and modern cloud data platforms with knowledge of MLOps/LLMOps, CI/CD, and enterprise AI integration.
Background or interest in financial services, fintech, payments, pricing, or analytics, combined with strong analytical and communication skills to translate AI concepts into business impact.