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Senior Backend Engineer- AI Agents (Remote)

1 month, 3 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS Azure Docker GCP gRPC Kubernetes LLM Microservices REST API SQL System Design
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Level AI

Level AI

Level AI provides disruptive AI solutions for call centers, automating workflows and improving team performance with semantic intelligence and real-time insights.

IT Services
51-250
Founded 2018
$15M raised
View All Jobs 7

Description

  • Design and build scalable backend systems that power real-time AI Agents in enterprise environments.
  • Develop agent orchestration frameworks for multi-step reasoning, tool usage, and decision workflows.
  • Build systems for agent memory, context management, and state persistence across interactions.
  • Architect low-latency inference pipelines that integrate LLMs, SLMs, and external tools or services.
  • Implement evaluation frameworks to measure agent performance, accuracy, and reliability.
  • Design continuous improvement loops that move feedback into retraining and production deployment.
  • Build and manage event-driven, asynchronous workflows for complex agent tasks.
  • Develop robust REST and gRPC APIs and service layers for agent capabilities.
  • Partner with Applied AI and ML teams to productionize models and agent behaviors.
  • Collaborate with Product and Solutions teams to translate customer workflows into agentic systems.
  • Drive observability, monitoring, safety, and guardrail practices 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 using REST and gRPC, and microservices architectures.
  • Experience with SQL and NoSQL databases and data modeling for high-scale systems.
  • Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.
  • Strong fundamentals in system design, concurrency, and performance optimization.
  • Experience working with LLMs, conversational AI, or AI-powered products in production is a strong plus.
  • Familiarity with agent frameworks, tool calling, or multi-step reasoning systems is a strong plus.
  • Experience building or integrating RAG pipelines, vector databases, or retrieval systems is a strong plus.
  • Exposure to evaluation systems, including offline or online evals and A/B testing for AI systems, is a strong plus.
  • Understanding of prompting strategies, context windows, and model behavior optimization is a strong plus.
  • Experience with real-time decisioning systems or workflow orchestration engines is a strong plus.

Benefits

  • Competitive compensation with performance-based upside.
  • Flexible vacation policy.
  • Health insurance coverage.
  • Opportunity to work with a globally distributed, high-impact team.
  • Opportunity to build cutting-edge AI products at scale.
  • Regular team offsites and in-person collaboration.

Interested in this position?

Apply directly on the company website

Apply Now

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