Senior Backend Engineer- AI Agents

Level AI is on a mission to turn every customer interaction into a strategic advantage. The AI-native platform helps enterprises transform contact 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 consistent, high-quality support across the customer journey. As a Lead Engineer - AI Agents at Level AI, you will play a critical role in building scalable backend systems for AI Agents. Your responsibilities will include: - Designing and building scalable backend systems for AI Agents operating in real-time enterprise environments - Developing agent orchestration frameworks for multi-step reasoning, tool usage, and decisioning workflows - Building systems for agent memory, context management, and state persistence across interactions - Architecting low-latency inference pipelines integrating Large Language Models (LLMs), Small Language Models (SLMs), and external tools/services - Implementing evaluation frameworks to measure agent performance, accuracy, and reliability - Enabling continuous improvement loops for AI agents in production - Designing and managing event-driven, asynchronous workflows for complex agent tasks - Optimizing systems for high throughput, low latency, and cost-efficient inference at scale - Building and maintaining robust APIs and service layers (REST / gRPC) for agent capabilities - Partnering closely with Applied AI / ML teams to productionize models and agent behaviors - Collaborating with Product and Solutions teams to translate real customer workflows into agentic systems - Driving best practices in observability, monitoring, safety, and guardrails for AI systems - Contributing to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms Qualifications required for this role include: - 5+ years of experience in backend engineering, distributed systems, or platform engineering - Strong experience in 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 Additional details about the company can be found at Level AI Website. Level AI is on a mission to turn every customer interaction into a strategic advantage. The AI-native platform helps enterprises transform contact 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 consistent, high-quality support across the customer journey. As a Lead Engineer - AI Agents at Level AI, you will play a critical role in building scalable backend systems for AI Agents. Your responsibilities will include: - Designing and building scalable backend systems for AI Agents operating in real-time enterprise environments - Developing agent orchestration frameworks for multi-step reasoning, tool usage, and decisioning workflows - Building systems for agent memory, context management, and state persistence across interactions - Architecting low-latency inference pipelines integrating Large Language Models (LLMs), Small Language Models (SLMs), and external tools/services - Implementing evaluation frameworks to measure agent performance, accuracy, and reliability - Enabling continuous improvement loops for AI agents in production - Designing and managing event-driven, asynchronous workflows for complex agent tasks - Optimizing systems for high throughput, low latency, and cost-efficient inference at scale - Building and maintaining robust APIs and service layers (REST / gRPC) for agent capabilities - Partnering closely with Applied AI / ML teams to productionize models and agent behaviors - Collaborating with Product and Solutions teams to translate real customer workflows into agentic systems - Driving best practices in observability, monitoring, safety, and guardrails for AI systems - Contributing to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms Qualifications required for this role include: - 5+ years of experience in backend engineering, distributed systems, or platform engineering - Strong experience in 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