Senior Backend Engineer – AI Agents

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Level AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $20M Series B on 2022-03

Artificial Intelligence • SaaS • Enterprise

Level AI is a company specializing in artificial intelligence solutions aimed at enhancing customer experience and operational efficiency. It offers a comprehensive suite of tools designed for contact centers, including automated quality assurance, real-time agent assistance, and customer interaction analytics powered by generative AI. Level AI's solutions help businesses uncover insights from customer interactions, optimize contact center operations, and empower agents through AI-driven coaching and feedback. Trusted by leading companies across various sectors, Level AI focuses on transforming service and contact center teams into drivers of competitive advantage and growth.

📋 Description

• 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

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

🏖️ 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