Founding Platform Engineer (Jalisco)

Founding Platform Engineer (Jalisco)

14 ago
|
Lyzr AI
|
Jalisco

14 ago

Lyzr AI

Jalisco

We're building a platform (architect.New) 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 DoBuild and maintain the core agent orchestration engine, skill execution, and state managementDevelop the builder UI in Next.Js for composing agents and workflowsImplement real-time communication layers (WebSockets, SSE) for live agent interactionsOwn backend microservices in Python and GoDesign and optimize MongoDB schemas for multi-tenant, high-throughput workloadsManage cloud infrastructure, deployments, and observability on AWSRequired ExperienceBuilding scalable microservices in Python (FastAPI) and GoWebSocket and SSE implementation; diagnosing socket-levelissuesPub/Sub patterns and event-driven architectureQueue management, state persistence, retry and dead-letter handlingUnderstanding of latency, networking, and distributed systems performanceFrontend — Next.JsCSR vs.



SSR trade-offs and when to apply eachDiagnosing hydration issuesState management across client and server boundariesScalable component architectureDeployment, reverse proxying, and build optimizationInfrastructure & ObservabilityECS management and CloudWatch log aggregationCloud networking basics — VPCs, load balancers, security groupsManaged services — DocumentDB, RedisSigNoz or similar observability toolsVersion ControlGit workflows — branching strategies, PR reviews, conflict resolutionRepository management for microservice codebasesSystem DesignHLD: Distributed system architecture, service decomposition, scalability patterns, fault toleranceDatabase Design: Schema modeling (SQL & NoSQL), indexing, query optimization, consistency trade-offsNice to HaveExperience with AI agent frameworks — tool use, skill orchestration, multi-step reasoningLLM integration patterns — prompt chaining, function calling, structured outputsFirecracker MicroVMs or E2B-style sandboxed execution environmentsSandbox isolation, security boundaries, and secure code executionAgent memory and long-running task orchestration#J-*****-Ljbffr

📌 Founding Platform Engineer (Jalisco)
🏢 Lyzr AI
📍 Jalisco

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