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Engineering:

  • Design and build scalable backend systems powering AI agents in real-time enterprise environments.
  • Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows).
  • Build systems for agent memory, context management, and state persistence across interactions.

AI and Infrastructure:

  • Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services.
  • Implement evaluation frameworks to measure agent performance, accuracy, and reliability.
  • Design event-driven, asynchronous workflows for complex agent tasks.

Collaboration and Culture:

  • Partner closely with Applied AI / ML teams to productionize models and agent behaviors.
  • Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems.
  • Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms.

Level AI

Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.

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