Product Engineer (Frontend)

Lyzr is revolutionizing enterprise AI adoption with its cutting-edge Agent API Studio and Universal Agents. As winners of the Accenture Ventures 2024 GenAI Challenge, Lyzr is leading the charge in AI-driven business transformation. Their solutions empower organizations to leverage intelligent automation and drive meaningful impact. Role Overview: You will be responsible for building and maintaining the core agent orchestration engine, skill execution, and state management. Additionally, you will 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, and manage cloud infrastructure, deployments, and observability on AWS. Key Responsibilities: - 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 Qualifications Required: - Backend experience in Python (FastAPI) and Go microservices at scale - Proficiency in WebSocket and SSE implementation, diagnosing socket-level issues - Expertise in MongoDB at scale including sharding, indexing, replica sets - Familiarity with OAuth 2.0, JWT, Pub/Sub, and event-driven architecture - Knowledge of queue management, state persistence, retry and dead-letter handling - Understanding of latency, networking, and distributed systems performance - Frontend experience in Next.js, including CSR vs SSR trade-offs, hydration debugging, state management across client and server boundaries, scalable component architecture, reverse proxying, and build optimization - Infrastructure knowledge in ECS, CloudWatch, VPCs, load balancers, security groups, DocumentDB, Redis, SigNoz, or similar observability tooling - Proficiency in system design including LLD (design patterns, SOLID, API contracts), HLD (distributed architecture, service decomposition, scalability, fault tolerance), and database design (SQL & NoSQL schema modeling, indexing, query optimization, consistency trade-offs) Additional Details: Not Available. Lyzr is revolutionizing enterprise AI adoption with its cutting-edge Agent API Studio and Universal Agents. As winners of the Accenture Ventures 2024 GenAI Challenge, Lyzr is leading the charge in AI-driven business transformation. Their solutions empower organizations to leverage intelligent automation and drive meaningful impact. Role Overview: You will be responsible for building and maintaining the core agent orchestration engine, skill execution, and state management. Additionally, you will 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, and manage cloud infrastructure, deployments, and observability on AWS. Key Responsibilities: - 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 Qualifications Required: - Backend experience in Python (FastAPI) and Go microservices at scale - Proficiency in WebSocket and SSE implementation, diagnosing socket-level issues - Expertise in MongoDB at scale including sharding, indexing, replica sets - Familiarity with OAuth 2.0, JWT, Pub/Sub, and event-driven architecture - Knowledge of queue management, state persistence, retry and dead-letter handling - Understanding of latency, networking, and distributed systems performance - Frontend experience in Next.js, including CSR vs SSR trade-offs, hydration debugging, state management across client and server boundaries, scalable component architecture, reverse proxying, and build optimization - Infrastructure knowledge in ECS, CloudWatch, VPCs, load balancers, security groups, DocumentDB, Redis, SigNoz, or similar observability tooling - Proficiency in system design including LLD (design patterns, SOLID, API contracts), HLD (distributed architecture, service decomposition, scalability, fault tolerance), and database design (SQL & NoSQL schema modeling, indexing, query optimization, consistency trade-offs) Additional Details: Not Available.