Founding Platform Engineer - São Paulo - Lyzr AI

    Lyzr AI
    Lyzr AI São Paulo

    há 14 horas

    Tecnologia / Internet
    Descrição

    About the Role

    We're building a platform ) that lets anyone create, deploy, and manage autonomous AI agents with custom skills, tool integrations, and production-ready UIs. You'll work across backend, frontend, and infrastructure — reporting to the Product Architect.

    What You'll Do

    • Build and maintain the core agent orchestration engine, skill execution, and state management
    • Develop the builder UI in for composing agents and workflows
    • 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

    Required Experience

    Backend — Python & Go

    • Building scalable microservices in Python (FastAPI) and Go
    • WebSocket and SSE implementation; diagnosing socket-level issues
    • MongoDB at scale — sharding, indexing, replica sets
    • Authentication mechanisms — OAuth 2.0, JWT
    • Pub/Sub patterns and event-driven architecture
    • Queue management, state persistence, retry and dead-letter handling
    • Understanding of latency, networking, and distributed systems performance

    Frontend —

    • CSR vs. SSR trade-offs and when to apply each
    • Diagnosing hydration issues
    • State management across client and server boundaries
    • Scalable component architecture
    • Deployment, reverse proxying, and build optimization

    Infrastructure & Observability

    • ECS management and CloudWatch log aggregation
    • Cloud networking basics — VPCs, load balancers, security groups
    • Managed services — DocumentDB, Redis
    • SigNoz or similar observability tools

    Version Control

    • Git workflows — branching strategies, PR reviews, conflict resolution
    • Repository management for microservice codebases

    System Design

    • LLD: Design patterns, SOLID principles, API contract design
    • HLD: Distributed system architecture, service decomposition, scalability patterns, fault tolerance
    • Database Design: Schema modeling (SQL & NoSQL), indexing, query optimization, consistency trade-offs

    Nice to Have

    • Experience with AI agent frameworks — tool use, skill orchestration, multi-step reasoning
    • LLM integration patterns — prompt chaining, function calling, structured outputs
    • Firecracker MicroVMs or E2B-style sandboxed execution environments
    • Sandbox isolation, security boundaries, and secure code execution
    • Agent memory and long-running task orchestration
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