ZipRecruiter

Log In

1

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

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models. * Frontend Development: Create engaging and responsive user ...

Artos

Backend Software Engineer

San Francisco, CA · On-site

$166K - $231K/yr

Experience building APIs with modern Python frameworks (FastAPI, Django, etc.) * Experience deploying and scaling containerized apps in cloud environments (AWS preferred) * Experience building CI/CD ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models. * Frontend Development: Create engaging and responsive user ...

Denken Solutions, Inc.

Software Engineer

Foster City, CA · On-site

$100.70/hr

The engineer will also work on the Python/FastAPI backend powering high-throughput embedding search and bulk operations, and contribute to the React.js frontend for UI-driven pipeline management ...

Clera

Founding Engineer

San Francisco, CA · On-site

$80K - $120K/yr

Develop full-stack components using Python and FastAPI * Collaborate directly with enterprise customers to map existing processes and identify automation opportunities * Support a land-and-expand go ...

Clera

Founding Engineer

San Francisco, CA · On-site

$80K - $120K/yr

Develop full-stack components using Python and FastAPI * Collaborate directly with enterprise customers to map existing processes and identify automation opportunities * Support a land-and-expand go ...

Lumafield

Backend Software Engineer

San Francisco, CA · On-site

Required : • Bachelor's Degree in Engineering or related field • 2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.) • ...

Tekcel8

Gen AI

San Francisco, CA · On-site

... Python · Experience with Large Language Models (LLMs) including GPT, Claude, Gemini, Llama, or ... FastAPI · Streamlit or Gradio · MCP (Model Context Protocol) · A2A (Agent-to-Agent) · AI ...

Pump.co

Backend Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend Engineer , you'll contribute directly to the core of our product and infrastructure. This role is ...

Pump.co

Backend Engineer

San Francisco, CA · On-site

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend Engineer , you'll contribute directly to the core of our product and infrastructure. This role is ...

Lumafield

Backend Software Engineer

San Francisco, CA · On-site

Required : • Bachelor's Degree in Engineering or related field • 2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.) • ...

previous page

Showing results 41-60

All JobsFastapi Python JobsFastapi Python Jobs in San Francisco, CA

Fastapi Python information

See San Francisco, CA salary details

$15

$69

$101

How much do fastapi python jobs pay per hour?

As of Aug 6, 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.

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

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 job categories do people searching Fastapi Python jobs in San Francisco, CA look for? The top searched job categories for Fastapi Python jobs in San Francisco, CA 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:
Fastapi Python jobs near you

Full Stack Engineer

Weekday AI

San Francisco, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 3 days ago

Job description

This role is for one of the Weekday's clients

Salary range: $180k - $250k
Experience: 6+ YoE
We are seeking an experienced Full Stack Engineer with a strong background in AI-driven application development, Python, TypeScript, and ETL pipelines. The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features.

Requirements

Key Responsibilities
  • End-to-End Development: Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend.
  • Backend Engineering: Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.
  • Frontend Development: Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular), ensuring an exceptional user experience.
  • AI Integration: Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring.
  • ETL Pipeline Development: Design, implement, and optimize ETL processes to efficiently collect, transform, and load large-scale datasets from multiple sources.
  • API Design & Integration: Develop and consume RESTful and GraphQL APIs for communication between services and external systems.
  • Cloud Deployment: Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments.
  • Testing & Quality Assurance: Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability.
  • Collaboration: Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features.
  • Continuous Improvement: Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices.
Required Skills & Qualifications
  • Experience: 6-10 years in full stack development, with at least 2-3 years in AI-driven application projects.
  • Programming Expertise: Strong proficiency in Python for backend/API development and TypeScript for frontend applications.
  • Frameworks: Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js).
  • ETL & Data Engineering: Proven track record in designing and maintaining ETL pipelines and working with data processing tools (Airflow, dbt, or similar).
  • Databases: Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar).
  • AI/ML Integration: Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn.
  • Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory).
  • Problem Solving: Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems.
  • Collaboration: Excellent communication skills and a track record of working in agile, cross-functional teams.
Preferred Qualifications
  • Prior experience with real-time data processing and streaming technologies (Kafka, Spark).
  • Knowledge of MLOps best practices for model deployment and monitoring.
  • Understanding of data governance, security, and compliance standards.

Apply