About Teradata
At Teradata, we believe that people thrive when empowered with better information. That’s why we build the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we enable enterprises around the world to make better, more confident decisions at scale.

Role Overview
As an AI Engineer, you will contribute to the design, development, and delivery of AI powered services and applications within Teradata’s AI platform ecosystem. You will work closely with senior engineers, AI/ML specialists, and product teams to build scalable, reliable systems leveraging modern AI technologies, including machine learning and large language models (LLMs).
This role is ideal for engineers who are hands on, eager to learn, and excited to work on production grade AI systems in a cloud native environment.

Key Responsibilities
• Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
• Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms.
• Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
• Work with SQL and NoSQL data stores to design efficient data models and service access patterns.
• Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features.
• Write clean, testable code and participate in code reviews to maintain high engineering standards.
• Assist in troubleshooting, debugging, and resolving production issues.
• Learn and follow best practices for cloud native development, reliability, and observability.
• Stay current with emerging trends in AI, machine learning, and software engineering.

Required Qualifications (Non Negotiable)
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 2+ years of experience in software engineering, backend development, or data platform engineering.
• Proficiency in Python, Java, or Go.
• Basic understanding of distributed systems, APIs, and backend service design.
• Experience working with relational (SQL) and/or NoSQL databases.
• Familiarity with software development best practices: version control, testing, and code reviews.

Preferred / Nice to Have Skills
• Exposure to AI/ML concepts, including machine learning pipelines or LLM based systems.
• Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG).
• Experience deploying services in cloud environments (AWS, Azure, or GCP).
• Basic experience with containers (Docker) and orchestration platforms (Kubernetes).
• Interest in agentic AI, automation, or developer productivity tooling.

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