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Role : Generative AI Lead Experience: 8 - 10 Years Location: Noida Work Mode: Hybrid About the Role We are seeking a highly skilled Gen AI Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. The ideal candidate will have solid expertise in AI/LLM ecosystems, Agentic AI frameworks, RAG architectures, Python-based development, and cloud-native deployments. This role requires both hands-on technical leadership and the ability to guide teams in building scalable AI-powered applications. Required Skills - Strong programming expertise in Python, including NumPy and Pandas. - Deep understanding of Advanced GenAI Concepts and Agentic AI Frameworks. - Hands-on experience with LangChain, LangGraph, or similar workflow and agent orchestration frameworks. - Expertise in Retrieval Augmented Generation (RAG), Graph RAG, and Agentic AI Systems. - Strong experience in Prompt Engineering and LLM optimization techniques. - Proficiency in React.js for developing AI-driven user interfaces and enterprise applications. - Experience with Vector Databases and AI Search Index implementations. - Knowledge of AI Agents, Tool Calling, Fine-Tuning, and Model Customization. Experience in Cloud Application Integration & Deployment (AWS/Azure/GCP). - Strong understanding of API development and enterprise system integrations. - Experience in deploying scalable AI solutions in production environments. Preferred Skills - Experience working with Large Language Models such as GPT, Claude, Gemini, Llama, or Mistral. - Knowledge of React and modern front-end frameworks. - Experience with PostgreSQL or other relational databases. - Familiarity with Docker, Kubernetes, and MLOps practices. - Understanding of AI governance, Responsible AI, and enterprise AI security. - Experience in Capital Markets, Banking, Financial Services, or other enterprise domains. Educational Qualification - Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. Role : Generative AI Lead Experience: 8 - 10 Years Location: Noida Work Mode: Hybrid About the Role We are seeking a highly skilled Gen AI Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. The ideal candidate will have solid expertise in AI/LLM ecosystems, Agentic AI frameworks, RAG architectures, Python-based development, and cloud-native deployments. This role requires both hands-on technical leadership and the ability to guide teams in building scalable AI-powered applications. Required Skills - Strong programming expertise in Python, including NumPy and Pandas. - Deep understanding of Advanced GenAI Concepts and Agentic AI Frameworks. - Hands-on experience with LangChain, LangGraph, or similar workflow and agent orchestration frameworks. - Expertise in Retrieval Augmented Generation (RAG), Graph RAG, and Agentic AI Systems. - Strong experience in Prompt Engineering and LLM optimization techniques. - Proficiency in React.js for developing AI-driven user interfaces and enterprise applications. - Experience with Vector Databases and AI Search Index implementations. - Knowledge of AI Agents, Tool Calling, Fine-Tuning, and Model Customization. Experience in Cloud Application Integration & Deployment (AWS/Azure/GCP). - Strong understanding of API development and enterprise system integrations. - Experience in deploying scalable AI solutions in production environments. Preferred Skills - Experience working with Large Language Models such as GPT, Claude, Gemini, Llama, or Mistral. - Knowledge of React and modern front-end frameworks. - Experience with PostgreSQL or other relational databases. - Familiarity with Docker, Kubernetes, and MLOps practices. - Understanding of AI governance, Responsible AI, and enterprise AI security. - Experience in Capital Markets, Banking, Financial Services, or other enterprise domains. Educational Qualification - Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
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