Description

Build and operationalize production-grade Generative AI applications and data analytics tools. You will own the end-to-end development of LLM-based solutions, from API design to MLOps deployment on Azure and Databricks.

This role is on-site.

Responsibilities

• Develop Generative AI and LLM solutions using OpenAI, Anthropic, and Azure OpenAI.
• Build scalable AI services and APIs using Python and FastAPI.
• Implement Retrieval-Augmented Generation (RAG) workflows to improve answer accuracy and relevance.
• Operationalize AI/ML models using MLOps practices for lifecycle management, deployment, and monitoring.

Required Skills

• 7+ years of experience in AI/ML engineering and building production AI systems.
• Strong proficiency in Python and FastAPI for service development.
• Hands-on experience with Generative AI and LLM integration.
• Experience deploying and monitoring models using MLOps practices.
• Cloud development experience on Azure and Databricks.

Preferred Skills

• Proven experience implementing Retrieval-Augmented Generation (RAG) architectures.

Key Skills

Education

Any Graduate