AI Fullstack Software Engineer-Intern

Teradata Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
At Teradata, we're unleashing the full potential of data. Our ClearScape Analytics platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're pushing the boundaries of what's possible with Artificial Intelligence, especially in the realm of autonomous and agentic systems. As a member of our AI engineering team, you'll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You'll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software.
Imagine collaborating daily with some of the brightest minds in the company individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. Manager, Software Engineering, who will champion your growth and empower your contributions.
Experience working with modern data platforms like Teradata, Snowflake, and Databricks. Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems. You are an excellent full stack engineer who codes daily and owns systems end-to-end. Build intuitive UI with user-friendly natural language interfaces (e.g., chatbots, AI assistants) to allow users to interact with the data platform using natural language queries. Strong engineering background (Python/Java/Golang, API integration, backend frameworks). You're obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed. Hands-on experience with Machine learning & deep learning frameworks: Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc.), Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models). Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A genuine excitement for AI and large language models (LLMs) is a significant advantage. UI/UX Development: Proficiency in JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI). Design, develop, and deploy agentic systems integrated into the data platform. 3+ years of experience in software architecture, backend systems, or AI infrastructure. Passion for building safe, human-aligned autonomous systems. Experience in software development (Python, Go, or Java preferred). Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines. Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models). Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes. OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines. Bonus: Research experience or contributions to open-source agentic frameworks. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow.