About the RoleWe'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 Do Build and maintain the core agent orchestration engine, skill execution, and state management Develop the builder UI in Next.js 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 AWSRequired 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 — Next.js 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-offsNice 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
Job Title
Founding Platform Engineer