Senior Backend Engineer – AI Agents

🔥 19 horas atrás

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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Level AI

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2018

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

💰 $39.400.000 Series C - Level AI em 2024-07

Artificial Intelligence • SaaS • Enterprise

A Level AI é uma plataforma de experiência do cliente (CX) que utiliza modelos de IA proprietários para analisar e automatizar interações em centros de contato. Ela avalia 100% das interações com os clientes, implementa agentes de voz com IA, oferece assistência ao agente e treinamento em tempo real, automatiza a garantia de qualidade (Auto-QA) e fornece análises da voz do cliente. O Latitude da Level AI é composto por sete modelos específicos para tarefas desenhadas para CX empresarial, reivindicando maior eficiência de custo e velocidade em comparação com os LLMs de propósito geral. A empresa atende centros de contato de alto volume e regulados em indústrias como serviços financeiros, saúde, varejo e seguros, e enfatiza segurança e conformidade (ISO 27001, SOC2, HIPAA, PCI, GDPR).

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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