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Crewai Jobs in California (NOW HIRING)

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA

$134K - $162K/yr

Description 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 ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

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. As ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

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. As ...

CrewAI

Lead Data Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

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. As ...

CrewAI

Software Engineer, Open Source

San Francisco, CA · On-site

About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems. The open-source framework is a lean, fast Python library that has grown to ...

CrewAI

Software Engineer, Open Source

San Francisco, CA · On-site

About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems. The open-source framework is a lean, fast Python library that has grown to ...

CrewAI

Software Engineer, Open Source

San Francisco, CA · On-site

About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems. The open-source framework is a lean, fast Python library that has grown to ...

Genixbit

AI Agent Architect

San Francisco, CA · On-site

$180 - $240/hr

... CrewAI, and Autogen. You will build resilient task-delegation networks and advanced cognitive loops for enterprise operations. Key Responsibilities * Architect and build robust multi-agent systems ...

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Crewai information

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What are popular job titles related to Crewai jobs in California?

For Crewai jobs in California, the most frequently searched job titles are:

What job categories do people searching Crewai jobs in California look for?

The top searched job categories for Crewai jobs in California are:

What cities in California are hiring for Crewai jobs?

Cities in California with the most Crewai job openings:

Crewai jobs near you
Infographic showing various Crewai job openings in California as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Software Engineer, AI Runtime & Platform Services

CrewAI

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Job description

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.

The Role

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.

Requirements

What We're Looking For
  • 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.