Artificial Intelligence Engineer

About the job

Job Responsibilities: • Contribute to the design and development of software components that enable autonomous AI agents to reason, plan, act, and learn. • Implement features that support agentic capabilities such as tool use, memory, long-term planning, task execution, and self-reflection. • Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen). • Write, test, and debug Python or other backend code that powers agent workflows in cloud-native environments. • Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications. • Participate in Agile development workflows — sprint planning, code reviews, retrospectives — and collaborate across AI, product, and engineering teams. • Work with structured and unstructured data to support context-aware reasoning and decision-making in agents. • Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors. • Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP). • Maintain documentation of agent capabilities, system design, and integration strategies.

Requirements

• Python
• AI/ML
• Software Development
• RESTful APIs
• Agile Development

Qualifications

• BS degree in Computer Science
• Related technical field

Preferred Technologies

• Python
• AI/ML
• Software Development
• RESTful APIs
• Agile Development

About the company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.