Senior Backend Engineer – AI Agents

🔥 37 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Level AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $39.4M Series C - Level AI on 2024-07

Artificial Intelligence • SaaS • Enterprise

Level AI is a customer experience (CX) platform that uses proprietary AI models to analyze and automate contact center interactions. It scores 100% of customer interactions, deploys AI voice agents, provides real-time agent assist and coaching, automates quality assurance (Auto-QA), and delivers voice-of-the-customer analytics. Level AI Latitude comprises seven task-specific models designed for enterprise CX, claiming improved cost-efficiency and speed versus general-purpose LLMs. The company targets high-volume, regulated contact centers in industries such as financial services, healthcare, retail, and insurance, and emphasizes security and compliance (ISO 27001, SOC2, HIPAA, PCI, GDPR).

📋 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 • 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

🏖️ 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