Description

You will build and engineer AI solutions using Python and cloud infrastructure.

Responsibilities

• Design and optimize prompts for Large Language Models (LLMs) using context and prompt engineering.
• Implement and maintain CI/CD pipelines for ML experimentation and deployment.
• Develop and manage sandbox environments for AI/ML experimentation.
• Apply AI/ML engineering practices within an AWS and SDLC framework.

Required Skills

• 9+ years of professional experience in AI/ML engineering or data development.
• Advanced proficiency in Python.
• Demonstrated expertise in Agentic Flow patterns.
• Hands-on experience with AWS cloud services, including Bedrock.
• Experience implementing CI/CD pipelines.
• Familiarity with SDLC environments.
• Experience with LLMs, focusing on prompt design and optimization.
• Knowledge of Infrastructure-as-Code tools.
• Ability to collaborate in agile, cross-functional teams.

Key Skills

Education

Any Graduate