Teradata is looking to solve complex problems in AI and enterprise software by building intelligent systems that go beyond automation, observing, reasoning, adapting, and driving complex decision-making across large-scale enterprise environments. The company aims to empower customers to derive unprecedented value from their data through advanced AI agents integrated with business operations.
Requirements
- Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
- Strong system design skills and understanding of distributed systems.
- You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
- Proficiency in Angular, TypeScript, Figma, and design systems.
- Experience developing native notebook interfaces or extensions (e.g., Jupyter, VS Code Notebooks, or custom notebook UIs) is a strong plus.
- Strong understanding of human-computer interaction (HCI), especially with intelligent systems.
- Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
Responsibilities
- Architect foundational components for production-grade AI systems — from agent frameworks and LLM pipelines to observability and evaluation layers that ensure reliability, accountability, and performance.
- Design and prototype interfaces for interacting with autonomous agents.
- Implement responsive, accessible, and explainable UI components that visualize AI decisions, uncertainty, and reasoning paths.
- Experiment with LLM APIs, agentic workflows, and cutting-edge open-source frameworks
- Explore and implement planning systems, vector databases, or memory architectures such as graph-based storage on Teradata
- Develop and enhance native notebook experiences that blend code, data, and visualization — enabling seamless interaction with LLMs, agents, and AI workflows
- Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
Other
- A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!
- Passion for AI/ML*, especially in building smart, agent-driven interfaces that feel human.
- Ownership mindset — you build, deploy, iterate, and scale with a long-term view.
- Ownership Mindset: A proactive attitude towards taking responsibility for projects and a commitment to building, testing, iterating, and scaling UI solutions that meet both technical and user needs.
- Interest or experience in LLMs, autonomous agents, or AI tooling.
