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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, AI Runtime & Platform Services - **Company:** CrewAi Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Code Coverage, Software Debugging, Distributed Systems, Identity and Access Management, Python (Programming Language), Open Source Technology, Redis, Management of Software Versions, Data Logging, Google Cloud, Backend, AWS ECS, Fastapi, Pytest, Kubernetes, Sentry, Celery, Webhooks, Software Version Control, Api Management - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=56c53d9c661d1e12 ## About the Role * Strong Python backend/platform engineering experience, especially building production services rather than only libraries. * Experience with FastAPI or similar API frameworks, Celery or other job systems, Redis, Pydantic, and typed Python. * Good instincts for distributed systems: retries, idempotency, async execution, status tracking, race conditions, and failure recovery. * Comfort with auth and security-sensitive systems: JWTs, webhooks, signatures, secrets, IAM/workload identity, and least-privilege thinking. * Practical observability experience: tracing, structured logging, metrics, Sentry/OpenTelemetry, and debugging multi-service failures. * Ability to work at the boundary between an open-source framework and a hosted enterprise platform without creating brittle coupling. * Strong testing habits and comfort with CI, package/version management, and release discipline. Bonus * Experience operating AI/agent runtimes, workflow engines, or distributed task systems. * Cloud platform experience with AWS ECS/ECR, Kubernetes, Helm, GCP/Azure identity, or secret managers. * Experience with enterprise SaaS constraints: auditability, tenant isolation, customer environments, deployment rollbacks, and supportability. * Familiarity with Rails/SaaS platforms is useful, but not required. ## Description You'll work on the enterprise runtime layer that turns CrewAI's open-source Crews and Flows into secure, observable, remotely executable production systems. This is the layer between the framework and the platform: APIs, workers, checkpoints, webhooks, auth, deployment behavior, telemetry, and enterprise extensions that make CrewAI run reliably in real customer environments. You'll partner closely with the open-source, product, and infrastructure teams, but your center of gravity is production execution: making agent workflows resumable, inspectable, authenticated, observable, and safe to operate at scale. What You'll Do * Build and maintain the Python enterprise runtime around CrewAI: FastAPI services, Celery workers, Redis-backed state, execution APIs, and deployment-facing tools. * Extend open-source CrewAI behavior for enterprise environments while preserving compatibility with upstream framework changes. * Own production execution flows: crew and flow kickoff, status, retries, cancellation, checkpoint restore and fork, chat/session state, and human-in-the-loop resume paths. * Build secure integration surfaces: JWT auth, signed webhooks, token refresh, file handling, secret fetching, and workload identity across AWS, GCP, and Azure. * Improve observability across distributed execution: OpenTelemetry traces, structured logs, Sentry, event tracking, and debuggability across API, worker, and platform boundaries. * Maintain strong test coverage for async/runtime behavior using pytest, mypy, ruff, mocks/fakes, and e2e deployment harnesses. * Partner with the Agent Management Platform team on API contracts, versioning, enterprise client behavior, deployment status, and failure reporting. ## Related Videos - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From Doubt to Confidence: How Sentry Uses Verdaccio to Bulletproof SDK Releases](https://www.wearedevelopers.com/videos/739-from-doubt-to-confidence-how-sentry-uses-verdaccio-to-bulletproof-sdk-releases) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)