Platform Architect

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Hubs.is

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Hubs is an enterprise-focused AI workspace that provides agentic AI tools and workflows to help teams build, share, and scale AI-powered processes across an organization. It surfaces team activity, projects, clients, and reusable AI agents that automate tasks like proposal generation, risk monitoring, client reporting, and pipeline tracking. Hubs emphasizes starting with one prompt, one datasource, and one workflow that can be reused and connected across teams so organizational knowledge compounds, improving adoption, collaboration, and decision-making. The product targets businesses seeking to operationalize AI within workflows and teams, offered currently in early access.

📋 Description

• Design and scale the agentic harness — the orchestration layer that plans, routes, and executes autonomous agent workflows reliably. • Architect the semantic knowledge base that models organizational knowledge • Build and evolve a reactive, actor-based execution engine for concurrent, event-driven agent execution with strong isolation and resilience. • Architect distributed systems with instrumentation that scale reliably and efficiently. • Collaborate with frontend, product, and devops teams to ensure seamless integration. • Architect for scale, performance, and efficiency at the logic, network, and database layers. • Lay foundations for high-quality distributed services that can evolve and grow as we scale out.

🎯 Requirements

• 5+ years of backend development, focusing on data systems and high-traffic web applications. • Experience designing agent orchestration, planning/execution loops, or autonomous AI workflows • Familiarity with knowledge graphs, ontologies, or semantic data models • Strong grasp of actor-based or reactive concurrency models, event-driven design, streaming APIs, and websockets. • Strong experience with Node.js and frameworks like Nest.js or Express • Hands-on expertise with both relational (Postgres) and document (MongoDB) databases • Experience using observability tools, debugging, and performing root cause analysis. • Experience building scalable asynchronous pipelines, especially for language/AI data. • Familiarity with Git, CI/CD processes; familiarity with Datadog, Digital Ocean, and/or GCP is a plus.

🏖️ Benefits

• competitive salary • a chance for participation in upside via stock plans • flexibility of a remote-first environment