Level AI
Customer Experience & Contact Centers
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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.
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 reliability
Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production
Design and manage event-driven, asynchronous workflows for complex agent tasks
Optimize systems for high throughput, low latency, and cost-efficient inference at scale
Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities
Partner closely with Applied AI / ML teams to productionize models and agent behaviours.
Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems
Drive best practices in observability, monitoring, safety, and guardrails for AI systems
Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms
Strong Plus (Agent / AI focus):
Perks & Benefits
Competitive compensation with performance-based upside
Flexible vacation policy
Health insurance coverage
Work with a globally distributed, high-impact team
Opportunity to build cutting-edge AI products at scale
Regular team offsites and in-person collaboration
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Marcus Rivera
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