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 + (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru