Why This Job is Featured on The SaaS Jobs
Level AI sits in a part of the SaaS landscape where AI is not a feature layer but the core product, applied to enterprise contact center workflows. For SaaS practitioners, that matters because customer experience platforms carry demanding constraints around latency, reliability, and multi tenant delivery. The focus on AI Agents, orchestration, and real time decisioning signals work that connects modern LLM capabilities to the operational realities of production SaaS.
The role offers career compounding in areas that translate across many SaaS categories: building backend platforms that support high volume usage, designing service boundaries and APIs that other teams depend on, and establishing measurement systems for quality. The emphasis on evaluation frameworks, feedback loops, and observability reflects a SaaS pattern where iteration is continuous and outcomes must be tracked in production, not only in offline experiments.
This position suits engineers who prefer systems thinking over isolated feature work and who enjoy making ambiguous AI behavior more dependable through architecture and instrumentation. It is also a strong match for someone ready to lead technical direction while partnering closely with applied AI and product stakeholders, particularly in a hybrid, in office collaboration model in Noida.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights.
With a fast-growing team in India, we are building a strong engineering presence in Noida to drive innovation across our platform.
About the role
As a Lead 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.
This role is based in Noida (Delhi NCR) with a hybrid work model (2–3 days/week in office).
You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale.
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What you’ll get to do at Level AI (and more as we grow together):
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Design and build scalable backend systems powering AI Agents that operate in real-time enterprise environments
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Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows)
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Build systems for agent memory, context management, and state persistence across interactions
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Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services
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Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reliability
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Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production
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Design and manage event-driven, asynchronous workflows for complex agent tasks
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Optimize systems for high throughput, low latency, and cost-efficient inference at scale
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Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities
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Partner closely with Applied AI / ML teams to productionize models and agent behaviours.
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Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems
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Drive best practices in observability, monitoring, safety, and guardrails for AI systems
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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
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Perks & Benefits
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Competitive compensation with performance-based upside
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Flexible vacation policy
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Health insurance coverage
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Work with a globally distributed, high-impact team
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Opportunity to build cutting-edge AI products at scale
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Regular team offsites and in-person collaboration
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
