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Remote Fastapi Developer Jobs in San Jose, CA (NOW HIRING)

Software Engineer, Ground Software

San Jose, CA ยท On-site +1

$156K - $186K/yr

... like Docker and FastAPI * Participate in designing our cloud architecture: choosing which ... Build the APIs and tooling to integrate our cloud with remote antenna ground station networks

Software Engineer, Operational Tools

Foster City, CA ยท On-site +1

$150K - $185K/yr

... remote operators to develop full-stack web applications that support fleet monitoring and ... Flask, FastAPI). * Experience leveraging AI-powered development tools and workflows to improve ...

Technical Product Manager

Santa Clara, CA ยท On-site +1

$132K - $181K/yr

... FastAPI, Polars, and SQLAlchemy. If you're passionate about leveraging data and software to ... Comfortable working in real-time with other engineers in remote locations * Preferred (primary ...

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Remote Fastapi Developer information

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$61

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How much do remote fastapi developer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote fastapi developer in San Jose, CA is $61.93, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $75.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote FastAPI Developer, and why are they important?

To excel as a Remote FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with the FastAPI framework, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Docker, Git, SQL/NoSQL databases, and cloud platforms like AWS or Azure is highly valued, and certifications in cloud or backend development can be advantageous. Excellent problem-solving, self-management, and communication skills are crucial for collaborating effectively in a remote environment. These skills ensure you can deliver robust, scalable APIs while efficiently working with distributed teams.

What is a Remote FastAPI Developer?

A Remote FastAPI Developer is a software engineer who specializes in building web APIs using the FastAPI framework, while working remotely from any location. FastAPI is a modern, high-performance Python web framework used to create APIs quickly and efficiently. Remote FastAPI Developers design, implement, and maintain backend services, typically collaborating with distributed teams through online communication and project management tools. Their responsibilities often include writing clean, scalable code, integrating databases, and ensuring API security and performance.

What are some common challenges Remote FastAPI Developers face when collaborating with distributed teams?

Remote FastAPI Developers frequently work with colleagues across different time zones and communication styles, which can make real-time collaboration and code reviews more challenging. Staying aligned on project requirements, API design standards, and deployment schedules often requires proactive communication and thorough documentation. Using tools like version control, issue trackers, and asynchronous messaging helps bridge these gaps, but developers must be disciplined about keeping everyone updated and clarifying technical decisions. Building strong remote working habits and establishing clear processes with your team can greatly improve collaboration and project outcomes.
What job categories do people searching Remote Fastapi Developer jobs in San Jose, CA look for? The top searched job categories for Remote Fastapi Developer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote Fastapi Developer jobs? Cities near San Jose, CA with the most Remote Fastapi Developer job openings:

Member of Technical Staff - Full Stack Software Engineer

Prime Intellect

San Francisco, CA โ€ข On-site, Remote

$150/hr

Full-time

Posted 23 days ago


Job description

Building Open Superintelligence Infrastructure
Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infrastructure that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack, and we build the developer platform that makes all of it usable.
We enable researchers, startups, and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI), and many others.
Role Impact
This is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.
Core Responsibilities
  • Build intuitive web interfaces for AI workload management and monitoring
  • Develop REST APIs and backend services in Python
  • Own features end-to-end, from design through deployment and operation
  • Create real-time monitoring and debugging tools for users of the platform
  • Implement user-facing features for resource management and job control
  • Deploy and operate services on cloud infrastructure
  • Contribute to internal tooling, automation, and developer experience improvements
Technical Requirements
  • Strong Python backend development (FastAPI, async)
  • Modern frontend development (TypeScript, React/Next.js, Tailwind)
  • Experience building developer tools, dashboards, or platform products
  • RESTful API design and implementation
  • Comfortable working with cloud platforms (GCP a plus) and containerized deployments
  • A bias toward shipping, ownership of production code, and pragmatic engineering judgment
  • Infrastructure automation experience (Ansible, Terraform, Kubernetes)

Nice to Have
  • Interest in or exposure to ML/AI workloads
  • WebSocket / real-time systems experience
  • Open-source contributions
  • Observability tooling (Prometheus, Grafana)
  • Prior experience at an early-stage startup
What We Offer
  • Cash compensation range of $150-300k with significant equity incentives
  • Flexible work arrangement (remote or San Francisco office)
  • Full visa sponsorship and relocation support
  • Professional development budget for courses and conferences
  • Regular team off-sites and conference attendance
  • Opportunity to shape the future of open AI development
Growth Opportunity
You'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.
We value potential over perfection - if you're a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.
Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.