01Overview
About Level AI
Level AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey.
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 journeycustomer-facing agents, agent-assist, and backend automationalong with deep conversation analytics for QA, coaching, and insights.
About the role
As aSenior Engineer 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 applicationsbringing agentic AI capabilities into production at scale.
What you'll get to do at Level AI (and more as we grow together):
Design and buildscalable backend systems powering AI Agentsthat operate in real-time enterprise environments
Developagent orchestration frameworks(multi-step reasoning, tool usage, decisioning workflows)
Build systems foragent memory, context management, and state persistenceacross interactions
Architectlow-latency inference pipelinesintegrating LLMs, SLMs, and external tools/services
Implementevaluation (evals) frameworksto measure agent performance, accuracy, and reliability
Enablecontinuous improvement loops(feedback retraining deployment) for AI agents in production
Design and manageevent-driven, asynchronous workflowsfor complex agent tasks
Optimize systems forhigh throughput, low latency, and cost-efficient inference at scale
Build and maintainrobust APIs and service layers(REST / gRPC) for agent capabilities
Partner closely withApplied AI / ML teamsto productionize models and agent behaviours.
Collaborate with Product and Solutions teams totranslate real customer workflows into agentic systems
Drive best practices inobservability, monitoring, safety, and guardrails for AI systems
Contribute toarchitecture 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 buildinghigh-scale, production-grade backend systems
Experience designing systems forreal-time processing, streaming, or event-driven architectures
Strong understanding ofAPI design (REST, gRPC)and microservices architectures
Experience withdatabases (SQL + NoSQL)and data modeling for high-scale systems
Hands-on experience withDocker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
Strong fundamentals insystem design, concurrency, and performance optimizationStrong Plus (Agent / AI focus):
Experience working withLLMs, conversational AI, or AI-powered products in production
Familiarity withagent frameworks, tool calling, or multi-step reasoning systems
Experience building or integratingRAG pipelines, vector databases, or retrieval systems
Exposure toevaluation systems (offline/online evals, A/B testing for AI systems)
Understanding ofprompting strategies, context windows, and model behavior optimization
Experience withreal-time decisioning systems or workflow orchestration engines
Perks & Advantages
Competitive compensation with performance-based upside
Flexible vacation policy
Health insurance coverage
Work with a globally distributed, high-impact team
Prospect to build cutting-edge AI products at scale
Regular team offsites and in-person collaboration
To learn more visit :/
Funding :
LinkedIn :/
Our AI platform :
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. .
