Level AI is looking for a Lead Software Engineer - AI Agents to build scalable backend systems powering AI Agents that operate in real-time enterprise environments.

Company: Level AI

Role: Lead Software Engineer - AI Agents

Location: Noida (Delhi NCR) with a hybrid work model (2-3 days/week in office)

Experience:

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

Key Skills:

Artificial Intelligence
Agentic AI
LLM
Machine Learning
AI Integration
RAG
System Design
Distributed Systems

Role Focus: • 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

Nice to have:

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

Other:

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

Lead Software Engineer - AI Agents

Skills Required

Description

Experience:

Key Skills:

Nice to have:

Other:

Prepare for this role

More LLM jobs