Senior Backend Engineer - AI Agents

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 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

We'll love to explore more about you if you have:

• 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)
• Strong fundamentals in  system design, concurrency, and performance optimization

  Strong Plus (Agent / AI focus):

• Experience working with  LLMs, conversational AI, or AI-powered products in production
• Familiarity with  agent frameworks, tool calling, or multi-step reasoning systems
• Experience building or integrating  RAG pipelines, vector databases, or retrieval systems
• Exposure to  evaluation systems (offline/online evals, A/B testing for AI systems)
• Understanding of  prompting strategies, context windows, and model behavior optimization
• Experience with  real-time decisioning systems or workflow orchestration engines

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 

To learn more visit : 

Funding : 

LinkedIn : 

Our AI platform :