[Remote] Full-Stack Engineer, Agent Management Platform

Note: The job is a remote job and is open to candidates in USA. CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems. The role involves building the CrewAI Agent Management Platform, focusing on full-stack product engineering with a strong frontend bias, and includes responsibilities such as developing user-facing experiences and integrating with external systems.

Responsibilities

• 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

Skills

• 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
• 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

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