AI Engineer

Our Company 

Teradata is the AI platform built for the autonomous era. Our AI + Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides-cloud, on-prem, or hybrid-Teradata connects and scales to deliver the performance AI needs.  

What You'll Do 

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.

What Makes You a Qualified Candidate 

• 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.

What You'll Bring 

• 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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