Full-Stack Engineer, Agent Management Platform

You’ll build the CrewAI Agent Management Platform: the web product where teams create, deploy, monitor, govern, and manage agentic automations in production. This is a full-stack product engineering role with a strong frontend bias. You’ll work across Rails, React, TypeScript, Hotwire, background jobs, APIs, and product workflows that make complex AI infrastructure feel understandable and usable. What You’ll Do

• Build user-facing platform experiences across Studio, deployments, observability, traces, human feedback, onboarding, integrations, settings, and admin surfaces.
• Ship polished frontend work in React/TypeScript, Vite, Tailwind, Hotwire, Stimulus, and Rails views/components.
• Own full-stack features from database models and service objects through controllers, jobs, APIs, and UI.
• Design workflows for complex agent management concepts: orgs, permissions, auth, environment variables, LLM connections, deployment status, logs, traces, secrets, tools, and human-in-the-loop review.
• Integrate with external systems like WorkOS/Auth0/Okta/Keycloak/Entra, GitHub, Slack, HubSpot, Salesforce, Stripe, cloud services, and LLM providers.
• Write high-quality tests across Rails and frontend code: Minitest/RSpec, system tests, Vitest, and component-level tests.
• Partner with runtime and open-source engineers to make CrewAI’s underlying execution model visible, debuggable, and usable in the platform.

• Strong full-stack product engineering experience, ideally in a B2B platform product with complex workflows.
• Excellent frontend judgment: React, TypeScript, component design, state management, forms, data-heavy screens, and interaction details.
• Solid backend ability with Ruby/Rails or a comparable MVC/web framework. You can model data, write service code, debug jobs, and design APIs.
• Comfort working with PostgreSQL, background jobs, caching/state, external APIs, and production-facing product behavior.
• Taste for clear UX around technically complex systems. You can make deployment state, errors, permissions, traces, and runtime behavior understandable.
• Strong testing habits and comfort shipping in a fast-moving codebase.
• Enough AI/LLM curiosity to understand agents, workflows, tools, traces, and human-in-the-loop product needs.

Bonus

• Experience with developer tools, workflow builders, observability products, infrastructure dashboards, or AI/agent platforms.
• Rails, Hotwire, ViewComponent, Tailwind, Vite, or React Query experience.
• Experience with auth/SSO, integrations, secrets, billing, usage, or admin tooling.
• Design sensibility: you can partner well with design, but do not need every interaction handed to you pixel by pixel.

About CrewAI

CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The Agent Management Platform is our control plane for deploying, monitoring, governing, and scaling agents in production.