Senior Backend Engineer- AI Agents (Remote)

Company: Level AI

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-17

About this role

About Level AI
Level AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey.


Headquartered in Mountain View, California, Level AI is a Series C company backed by leading investors including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights.


About The Role
As a
Senior Engineer - AI Agents
, you will play a critical role in building the scalable backend systems that power Level AI’s next-generation AI Agents. These systems operate in real-time, high-volume enterprise environments and are central to delivering intelligent, production-grade AI experiences.


You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale.


What you’ll get to do at Level AI (and more as we grow together):

  • Design and build scalable backend systems powering AI Agents that operate 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
  • Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services
  • Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reli...

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