About the role
Date- 25-Jul-26
JD
- Design and develop Generative AI solutions on AWS using managed and open-source LLMs
- Build RAG (Retrieval Augmented Generation) pipelines using enterprise data sources
- Develop AI agents and copilots for business, engineering, and operations use cases
- Integrate LLMs with applications, APIs, and enterprise systems
- Implement prompt engineering, fine-tuning, and model optimization strategies
- Operationalize GenAI solutions using MLOps / LLMOps best practices
- Ensure security, compliance, and data privacy in AI implementations
- Collaborate with architects, data engineers, and business stakeholders to translate use cases into scalable solutions
- Support POCs, pilots, and industrialization of GenAI capabilities
- Successfully delivered GenAI use cases from POC to production