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Fastapi Python Jobs in San Francisco, CA (NOW HIRING)

... FastAPI (Python) and Gin, or Echo (Go) • Experience with databases, including SQL (e.g. MySQL, Microsoft SQL), NoSQL (e.g. MongoDB, Elasticsearch) databases, and column-store database (e.g.

You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema design to UI behavior to CI pipelines. This is a high-trust, high-autonomy role for someone who wants ...

Product Engineer

San Francisco, CA · On-site

$115 - $150/hr

You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema design to UI behavior to CI pipelines. This is a high-trust, high-autonomy role for someone who wants ...

You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema design to UI behavior to CI pipelines. This is a high-trust, high-autonomy role for someone who wants ...

Deep backend expertise with FastAPI, Python, and MongoDB (or a comparable stack) in production environments. * Credible full-stack range: ability to design versioned REST/GraphQL APIs and ship ...

Deep backend expertise with FastAPI, Python, and MongoDB (or a comparable stack) in production environments. * Credible full-stack range: ability to design versioned REST/GraphQL APIs and ship ...

Deep backend expertise - experience with FastAPI, Python, and MongoDB or a comparable modern stack. * Credible frontend skills with React and TypeScript ; able to ship a clean, polished UI ...

Deep backend expertise -- experience with FastAPI, Python, and MongoDB or a comparable modern stack. * Credible frontend skills with React and TypeScript ; able to ship a clean, polished UI ...

We use FastAPI, Python, and MongoDB, and deep experience in a comparable stack counts. * Credible frontend range with React and TypeScript. You can ship a clean UI on your own. * You can take an ...

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Fastapi Python information

See San Francisco, CA salary details

$15

$69

$101

How much do fastapi python jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for fastapi python in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What are popular job titles related to Fastapi Python jobs in San Francisco, CA?

For Fastapi Python jobs in San Francisco, CA, the most frequently searched job titles are:

What cities near San Francisco, CA are hiring for Fastapi Python jobs?

Cities near San Francisco, CA with the most Fastapi Python job openings:

AI Developer with Python

San Francisco, CA • On-site

$59.25 - $81.50/hr

Other

Re-posted yesterday


Job description

Job Title : AI Developer with Python with Google Cloud Platform

Location: SFO, CA and Berkeley Height, NJ

(In-Person Interview is mandatory)

A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment.

Key Responsibilities

  • Design and build AI-driven applications, data pipelines, and microservices using Python.
  • Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
  • Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
  • Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, Google Cloud Platform).

Required Skills

  • 6+ years of total software experience with deep proficiency in Python.
  • Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
  • Knowledge of web frameworks such as FastAPI, Flask, or Django.
  • Familiarity with MLOps practices, Git version control, and containerization