Description

Build and deploy AI/ML systems using Python, focusing on LLMs and agentic flows.

This role is on-site.

Responsibilities

• Design and optimize prompts and context for large language models.
• Develop agentic flows and AI engineering solutions in Python.
• Implement CI/CD pipelines and manage sandbox environments like Jupyter.
• Build infrastructure using AWS, Bedrock, and Infrastructure-as-Code tools.
• Apply explainable AI techniques and ensure secure data handling.

Required Skills

• 5+ years of hands-on experience in AI/ML engineering or software development.
• Advanced proficiency in Python; Java experience is a plus.
• Demonstrated expertise in context and prompt engineering for LLMs.
• Experience with AWS cloud services, including Bedrock.
• Strong understanding of SDLC and CI/CD pipeline implementation.
• Ability to build and manage experimentation sandboxes.

Preferred Skills

• Familiarity with Infrastructure-as-Code tools for cloud management.
• Experience collaborating in agile, cross-functional teams.

Key Skills

Education

Any Graduate