Teradata is looking to solve complex AI and enterprise software problems by building intelligent systems that go beyond automation, observing, reasoning, adapting, and driving complex decision-making across large-scale enterprise environments. They aim to integrate advanced AI agents deeply with business operations, turning data into insight, action, and measurable outcomes.
Requirements
- Experience working with modern data platforms like Teradata, Snowflake, and Databricks
- Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
- Strong system design skills and understanding of distributed systems.
- Hands-on experience with Machine learning & deep learning frameworks : TensorFlow, PyTorch, Scikit-learn
- Hands-on experience with LLMs , agent frameworks (LangChain, AutoGPT, ReAct, etc.), and orchestration tools.
- Experience with AI observability tools and practices (e.g., logging, monitoring, tracing, metrics for AI agents or ML models).
- Proficiency in JavaScript frameworks (React.js, Vue.js, Angular) and CSS libraries (Bootstrap, Material-UI).
Responsibilities
- Design, develop, and deploy agentic systems integrated into the data platform.
- 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.
- Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
- Integrate observability tooling (e.g., OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
- Design and deploy advanced AI agents that integrate deeply with business operations.
- Develop scalable multi-agent coordination and fine-tuned LLM applications.
- Implement real-time monitoring, drift detection, and closed-loop retraining systems.
Other
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 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.
- You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
- A genuine excitement for AI and large language models (LLMs) is a significant advantage
