What you'll do Build and maintain the core agent orchestration engine, skill execution, and state management. Develop the builder UI in Next.js. Implement real-time communication layers (WebSockets, SSE) for live agent interactions. Own backend microservices in Python and Go. Design and optimize MongoDB schemas for multi-tenant, high-throughput workloads. Manage cloud infrastructure, deployments, and observability on AWS. What we expect : Backend — Python (FastAPI) and Go microservices at scale. WebSocket and SSE implementation, diagnosing socket-level issues. MongoDB at scale — sharding, indexing, replica sets. OAuth 2.0, JWT. Pub/Sub and event-driven architecture. Queue management, state persistence, retry and dead-letter handling. Latency, networking, and distributed systems performance. Frontend — Next.js. CSR vs SSR trade-offs. Hydration debugging. State management across client and server boundaries. Scalable component architecture. Reverse proxying and build optimization. Infrastructure — ECS, CloudWatch, VPCs, load balancers, security groups, DocumentDB, Redis, SigNoz or similar observability tooling. - System Design — LLD (design patterns, SOLID, API contracts), HLD (distributed architecture, service decomposition, scalability, fault tolerance), database design (SQL & NoSQL schema modeling, indexing, query optimization, consistency trade-offs). Nice to have AI agent frameworks LLM integration patterns (prompt chaining, function calling, structured outputs) Firecracker MicroVMs or E2B-style sandboxed execution agent memory and long-running task orchestration.

About Lyzr AI

Lyzr is building the agent infrastructure layer for enterprises, the system that lets companies run not just a few copilots but an entire AI workforce in production. Our vision is OGI, Organizational General Intelligence, where millions of specialized agents learn from each other and help automate up to 80% of how a business runs. With Lyzr, enterprises get the infrastructure, governance, and expertise to design, deploy, and grow this private AI workforce across every function, while staying fully in control of their data and systems.