Description

Key Skills: Gen AI, LLM, Retrieval-Augmented Generation (RAG), AWS, Azure

Roles and Responsibilities:

• Develop GenAI solutions using LLMs, including prompt design, response handling, and evaluation.
• Build RAG pipelines that retrieve relevant context and generate grounded answers.
• Integrate AI components with data sources and application services, ensuring robust end-to-end behavior.
• Implement quality and safety checks for generated outputs, including relevance and grounding validation.
• Optimize latency and cost for LLM/RAG workflows and support deployment to cloud environments.

Skills Required:

• 7 - 12 years of relevant experience
• Strong experience in Generative AI (GenAI) and Large Language Models (LLMs).
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Knowledge of AI model evaluation, reliability, performance optimization, and production deployment.
• Experience with cloud platforms such as AWS or Azure is an added advantage.
• Strong problem-solving, analytical, and communication skills.

Education: Any Graduation, Any Post Graduation

Key Skills

Education

Any Graduate