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.

📌 Senior Generative AI Engineer (LLM, RAG & Machine Learning)_XP:8 + (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad