[Remote] Senior Backend Engineer- AI Agents (Remote)

Note The job is a remote job and is open to candidates in USA. Level AI is on a mission to turn every customer interaction into a strategic advantage through their AI-native platform. As a Senior Backend Engineer - AI Agents, you will be responsible for building scalable backend systems that power next-generation AI Agents, focusing on real-time, high-volume enterprise environments. Responsibilities 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 Skills 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 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 Company Overview Level AI is a platform for businesses to automate tedious workflows and transform customer experience. It was founded in 2019, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is https//thelevel.ai. Company H1B Sponsorship Level AI has a track record of offering H1B sponsorships, with 1 in 2026, 2 in 2023, 1 in 2022, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job