TL;DR

AI Engineer: Designing and implementing secure, scalable frameworks for autonomous AI agents. Focus on building intelligent automation and conversational capabilities using GenAI and Agentic AI products.

Location: Hybrid, San Diego, CA, USA

Company

Teradata delivers the most complete cloud analytics and data platform for AI.

What you will do

  • Design, implement, and test secure, scalable frameworks for autonomous AI agents.
  • Build intelligent automation and conversational capabilities using state-of-the-art GenAI and Agentic AI products.
  • Develop and maintain MCP server integrations for robust and efficient runtime execution.
  • Collaborate with AI researchers, platform and database engineers, and product managers to bring cutting-edge agentic capabilities to production.
  • Build foundational infrastructure and tools for multi-agent collaboration, memory/context management, and extensibility.
  • Drive enterprise-wide adoption of AI agents through easy integration and safe execution.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 2+ years of experience in software development, backend systems, or AI infrastructure, with strong proficiency in Python and working knowledge of additional languages such as Java, Go, and C++.
  • Experience in building advanced agent-based architectures and runtime components for next-generation AI and LLM-driven solutions.
  • Ability to work with product leaders, architects, and platform teams to design, implement, and test our next-generation agent platform.

Nice to have

  • Experience / expertise in agent development, LLM integration, prompt engineering, and runtime systems.
  • Experience / expertise in MCP servers, vector databases, Retrieval-Augmented Generation (RAG) architecture, and NLP frameworks.
  • Experience in building autonomous agents, and leveraging AI tooling to create intelligent systems
  • Background in backend service development, API design, and building scalable distributed systems.
  • Familiarity / experience with SQL Database Engines and concepts, specifically schemas and indexing.

Culture & Benefits

  • People-first culture.
  • Flexible work model.
  • Focus on well-being.
  • Committed to fostering an inclusive environment.