Level AI
Technology
SeniorBackendEngineer-AIAgents
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Backend Engineer- AI Agents at Level AI. Skills: Backend engineering, Distributed systems, AI Agents, Cloud infrastructure. Design scalable backend systems. Build scalable backend systems”
Industry & Context.
Performance optimization; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in backend engineering, 5+ years of experience in distributed systems, 5+ years of experience in platform engineering, Experience building high-scale, production-grade backend systems, Experience designing systems for real-time processing, Experience designing systems for streaming, Experience designing systems for event-driven architectures, Understanding of API design (REST, gRPC), Understanding of microservices architectures, Experience with databases (SQL + NoSQL), Experience with data modeling for high-scale systems, Hands-on experience with Docker, Hands-on experience with Kubernetes, Hands-on experience with cloud platforms (AWS/GCP/Azure), Fundamentals in system design, Fundamentals in concurrency, Fundamentals in performance optimization
Nice to Have
Experience working with LLMs, Experience working with conversational AI, Experience working with AI-powered products in production, Familiarity with agent frameworks, Familiarity with tool calling, Familiarity with multi-step reasoning systems, Experience building RAG pipelines, Experience integrating RAG pipelines, Experience with vector databases, Experience with retrieval systems, Exposure to evaluation systems, Exposure to offline evals, Exposure to online evals, Exposure to A/B testing for AI systems, Understanding of prompting strategies, Understanding of context windows, Understanding of model behavior optimization, Experience with real-time decisioning systems, Experience with workflow orchestration engines
What You'll Do.
Design scalable backend systems
Build scalable backend systems
Develop agent orchestration frameworks
Build systems for agent memory
Build systems for context management
Build systems for state persistence
Architect low-latency inference pipelines
Integrate external tools
Integrate external services
Implement evaluation frameworks
Measure agent performance
Measure agent accuracy
Measure agent reliability
Enable continuous improvement loops
Optimize systems for high throughput
Optimize systems for low latency
Optimize systems for cost-efficient inference
Build robust service layers
Productionize agent behaviours
Translate customer workflows
Drive best practices in observability
Drive best practices in monitoring
Drive best practices in safety
Drive best practices in guardrails
Contribute to architecture decisions
How You'll Work.
Team & Collaboration
Applied AI / ML teams; Product teams; Solutions teams; Cross-functional teams
Full Job Description
## Description 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 reliability Enable continuous improveme
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