Description

You will build and deploy Generative AI applications.

Responsibilities

• Design and develop Generative AI applications utilizing LLMs.
• Implement prompt engineering, fine-tuning, and evaluation techniques for LLM architectures.
• Integrate AI solutions into existing systems across cross-functional teams.
• Deploy ML/GenAI models in cloud environments, primarily AWS.
• Follow MLOps practices including model versioning, monitoring, and CI/CD processes.

Required Skills

• Strong experience building Generative AI applications using Large Language Models (LLMs).
• Proficiency in Python for AI development, scripting, and automation.
• Hands-on experience with AWS cloud services for model deployment and infrastructure.
• Strong understanding of Agentic AI concepts and implementation patterns.
• Practical experience using OpenAI, Azure OpenAI, and Hugging Face for model development.
• Knowledge of Retrieval-Augmented Generation (RAG) patterns and vector-based search.
• Experience with SQL for analytics and data transformation tasks.
• Familiarity with MLOps practices including model versioning, monitoring, and CI/CD.
• Hands-on experience with Docker and Kubernetes for containerization and orchestration.

Key Skills

Education

Any Graduate