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Contract Fastapi Jobs in California (NOW HIRING)

FlexAI

Senior Full Stack Engineer

San Jose, CA · On-site

$180K - $225K/yr

Design and implement APIs and backend services using Python (FastAPI) and/or Node.js * Define clean, scalable contracts between frontend and backend * Work on data-intensive workflows (jobs, compute ...

Worky

Software Engineer, Full Stack

San Carlos, CA · On-site

$91 - $114/hr

This is a six-month hybrid (one day a week onsite in San Carlos, CA) contract role with hourly ... You'll use these skills, along with tools like React, TypeScript, Python, FastAPI, Snowflake, dbt ...

New

Protingent

Full Stack Software Developer

San Jose, CA · On-site

$110.21 - $123.98/hr

Protingent Staffing has an exciting contract Full Stack Software Developer with our client located ... FastAPI), Laravel (PHP) - Database design and implementation (Postgres and NoSQL). * AI/ML ...

Protingent

Software Engineer

San Jose, CA · On-site

$83 - $96/hr

Software Engineer Protingent Staffing has an exciting contract Software Engineer with our client ... Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI ...

Protingent

Software Engineer

San Jose, CA · On-site

$60 - $70/hr

Protingent Staffing has an exciting contract Software Engineerwith our client located in San Jose ... Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI ...

Staffingine LLC

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Contract * Design multilayered AI solutions balancing compute efficiency contextual fidelity and ... Implement structured output validation and schema enforcement using Pydantic FastAPI and JSON ...

Protingent

Full Stack Software Developer

San Jose, CA · On-site

$80 - $90/hr

Protingent Staffing has an exciting contract Full Stack Software Developerwith our client located ... FastAPI), Laravel (PHP) - Database design and implementation (Postgres and NoSQL). • AI/ML ...

De Circle

Odos - Backend Engineer

San Francisco, CA · On-site +1

Support the development, auditing, and deployment of new and existing smart contracts for the Odos platform Technical skills: * Python API microservice development, preferably in FastAPI * Poetry or ...

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Showing results 21-40

All JobsContract Fastapi JobsContract Fastapi Jobs in California

Contract Fastapi information

What is the difference between Contract Fastapi vs Contract Python Developer?

AspectContract FastapiContract Python Developer
Required CredentialsProficiency in Fastapi, Python, REST APIsProficiency in Python, frameworks like Django or Flask
Work EnvironmentRemote or on-site, API development projectsRemote or on-site, software development projects
Industry UsageWeb services, microservices, backend APIsWeb applications, data processing, backend systems
Common Search IntentFastapi-specific contract rolesPython contract roles with broader frameworks

Contract Fastapi roles focus specifically on developing APIs using Fastapi, requiring expertise in this framework. Contract Python Developer roles are broader, involving Python programming across various frameworks like Django or Flask. Both roles often work in similar environments but differ in technical focus and project scope.

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The most popular types of Fastapi jobs in California are:

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

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Infographic showing various Contract Fastapi job openings in California as of August 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% 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 10 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.