Full-Stack Engineer, CrewAI
Agent Management Platform
More information about location
Multi-agent automation platform
Open for applications
Multi-agent automation platform
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
To streamline workflows across industries with powerful AI agents.
Role
Who you are
- 7 plus years of 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
CrewAI is a multi-agent platform designed to streamline workflows across industries using powerful AI agents. By enabling organisations to build and deploy automated workflows with any large language model (LLM) and cloud platform, CrewAI transforms complex tasks into seamless automations.
The platform empowers millions of AI agents monthly, catering to diverse use cases ranging from research and analysis to coding and reporting. Boasting features like self-iteration, performance evaluation and persistent memory, CrewAI provides organisations with the tools they need to manage AI agents effectively while keeping humans in the loop for oversight and feedback.
This proposition has caught the attention of investors, seeing the company raise significant funds. This will support CrewAI's growth and development efforts, enabling it to expand operations. With a strong user base of over 150 customers across the globe, CrewAI is in a good place for continued success in the AI automation space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2024
$12.5m
SERIES A
Total funding: $12.5m
Company benefits
- Mission-driven team
- Remote-first culture
- Strong ownership and impact opportunities
Company HQ
Bela Vista, SP
Leadership
João Moura
(Co-Founder & CEO)Previously founded Urdog. They also served as the Director of AI Engineering at Clearbit, as an Engineering Manager at Toptal, and as the Lead Software Engineer at Packlane.
Rob Bailey
(Co-Founder & COO)Previously founded BackboneAI and MState where they served as the CEO. They were also a Strategic Advisor for over 9 years and the COO and GTM at Kustomer (acquired by Facebook).
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