Senior Staff AI Engineer

About the job

What You’ll Do This role will require you to • Architect and implement high-performance, scalable features using Python and modern software engineering practices. • Design and develop LLM-powered agents and runtime orchestration systems for distributed environments. • Build intelligent automation and conversational capabilities using state-of-the-art GenAI Agentic AI products. • Develop and maintain MCP server integrations, ensuring robust and efficient runtime execution. • Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments. • Utilize AI-assisted development tools (e.g., GitHub Copilot, MCP-integrated IDEs, Claude, GPT) to enhance productivity and code quality. • Collaborate cross-functionally to define, design, and deliver new features with a focus on performance, observability, and maintainability. • Support operational teams with troubleshooting, monitoring, and performance optimization. • Mentor junior engineers and contribute to a culture of innovation and continuous learning.

Requirements

• Python
• LLM integration
• NLP frameworks
• Containerization
• Cloud-native deployments

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• Engineering

Preferred Technologies

• Python
• LLM integration
• NLP frameworks
• Containerization
• Cloud-native deployments

About the company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built a complete cloud analytics and data platform for AI. We help the world’s top companies to improve their business performance with trusted AI.