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Senior Backend Engineer- AI Agents (Remote)
- New York, New York, United States
- New York, New York, United States
Über
Headquartered in Mountain View, California, Level AI is a Series C company backed by leading investors including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—including customer‑facing agents, agent‑assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights.
About the role As a SeniorEngineer – AI Agents , you will play a critical role in building the scalable backend systems that power Level AI’s next‑generation AI Agents. These systems operate in real‑time, high‑volume enterprise environments and are central to delivering intelligent, production‑grade AI experiences. You will work at the intersection of distributed systems, cloud infrastructure, and AI‑powered applications—bringing agentic AI capabilities into production at scale.
What you’ll get to do at Level AI (and more as we grow together):
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
We'll love to explore more about you if you have:
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
Perks & 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
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Sprachkenntnisse
- English
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