Senior Generative AI Engineer (LLM, RAG & Machine Learning)_XP:8 +

Senior Generative AI Engineer (LLM, RAG & Machine Learning) | 6-12 Years

Key Skills

• Generative AI
• Large Language Models (LLM)
• Retrieval Augmented Generation (RAG)
• Python Programming
• Machine Learning
• Natural Language Processing (NLP)
• Vector Databases
• LangChain
• Prompt Engineering
• Agentic AI
• OpenAI / Azure OpenAI
• Time Series Forecasting
• Model Deployment

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI solutions using LLMs and RAG architectures.
• Build and optimize AI applications leveraging Vector Databases, LangChain, and Prompt Engineering techniques.
• Develop Machine Learning models, including Time Series Forecasting and predictive analytics solutions.
• Implement scalable Python-based AI/ML applications and APIs.
• Evaluate, fine-tune, and deploy AI models for production environments.
• Collaborate with stakeholders to translate business requirements into AI-driven solutions.
• Ensure performance, scalability, security, and reliability of GenAI applications.
• Contribute to solution design, effort estimation, and technical documentation.
• Stay current with emerging AI technologies, frameworks, and industry best practices.