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Lead Software Engineer - AI Agents

Level AI· Engineering
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Hybrid (Noida (Delhi NCR)), Hybrid (Noida/Bangalore)Full-timePosted 11mo ago

About the role

Lead Engineer – AI Agents responsible for building scalable backend systems powering Level AI’s real-time, high-volume AI Agents. Hybrid role based in Noida/Delhi NCR, collaborating with Applied AI/ML, Product, Solutions, and multi-tenant enterprise platforms.

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 behaviors
  • 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

Qualifications

  • 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

Skills

Required:Backend engineeringDistributed systemsReal-time processing / streamingAPI design (REST, gRPC)Databases (SQL + NoSQL)Docker, KubernetesCloud platforms (AWS/GCP/Azure)System design
Nice to have:LLMs / AI / Agent frameworks

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
Last updated Aug 19, 2026. Interested? Apply on the company site.
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