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Fastapi Jobs in California (NOW HIRING)

Strong proficiency in Python and frameworks like FastAPI or Django. Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI). AI/ML Knowledge:

The application is a working prototype built with Python/FastAPI and JavaScript that supports multiple LLM providers (Anthropic Claude, OpenAI, Google Gemini, and local models via Ollama ...

Responsibilities : • Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy). • Build reliable microservices that support data processing, automation ...

Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL. * Write and maintain test suites and deployment scripts that keep systems stable and predictable. * Help ...

Strong experience with GCP, AWS, Docker, FastAPI, Django, and CI/CD. * Ability to write production-quality code across the complete software lifecycle. * Experience building reusable framework ...

Flask, Fastapi, Gunicorn, Quarkus * MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog * Docker, Kubernetes, Jenkins * Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus Salary ...

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Fastapi information

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$117K

$132.2K

$149.3K

How much do fastapi jobs pay per year?

As of Jun 12, 2026, the average yearly pay for fastapi in California is $132,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,341.00 and $137,092.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

What are the most commonly searched types of Fastapi jobs in California? The most popular types of Fastapi jobs in California are:
What job categories do people searching Fastapi jobs in California look for? The top searched job categories for Fastapi jobs in California are:
What cities in California are hiring for Fastapi jobs? Cities in California with the most Fastapi job openings:
Infographic showing various Fastapi job openings in California as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,195 per year, or $63.6 per hour.
AI Developer

Other

Posted 22 days ago


Job description

Job Summary

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Key Responsibilities

AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.

ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.

Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.

Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.

MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.

Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.

Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Required Qualifications & Skills

Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment.

Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.

Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).

AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).

Cloud/DevOps: Experience in Cloud platforms (AWS, Google Cloud Platform, Azure) and container technologies (Docker, Kubernetes).

Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

Experience with generative AI and agentic architectures.

Understanding of data privacy and security in AI applications.

PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field