Lead Software Engineer - AI Agents

Level AI

Tech Stack

About the 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.

Responsibilities

  • 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 reliability
  • Enable seamless integration with contact center systems, CRMs, and knowledge bases
  • Collaborate with AI/ML engineers to productionize models and manage the full lifecycle of AI services
  • Establish engineering best practices for observability, fault tolerance, and rapid iteration
  • Mentor engineers and shape the technical direction of the AI Agents platform

Requirements

  • 5+ years of experience in backend engineering, distributed systems, or platform engineering
  • Strong experience building high-scale, production-grade backend systems
  • Experience designing systems for real-time processing, streaming, or event-driven architectures
  • Strong understanding of API design (REST, gRPC) and microservices architectures
  • Experience with databases (SQL + NoSQL) and data modeling for high-scale systems
  • Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
  • Familiarity with LLMs, vector databases, and AI agent frameworks
  • Strong ownership, problem-solving, and communication skills

Benefits

  • Competitive compensation with performance-based upside
  • Flexible vacation policy
  • Health insurance coverage
  • Globally distributed team environment
  • Opportunity to build cutting-edge AI products at scale
  • Regular team offsites and in-person collaboration
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