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Python Fastapi Developer Jobs in Danville, CA (NOW HIRING)

Krew Research

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

... using Python (FastAPI) * Ship user-facing features end-to-end (from data model to API to UI) * ... Help evolve our engineering standards and product development process Minimum Qualifications: * At ...

Workhelix

Product Engineer

San Francisco, CA

$115K - $150K/yr

Role We're hiring a Product Engineer to join our team and help us scale reliably as we grow. As we ... You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema ...

Krew

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

... using Python (FastAPI) * Ship user-facing features end-to-end (from data model to API to UI) * ... Help evolve our engineering standards and product development process Minimum Qualifications: * At ...

Cypress HCM

Sr. Full Stack Engineer

San Francisco, CA · On-site

$150 - $200/hr

Sr. Full Stack Engineer We're looking for a strong full stack engineer to join a collaborative ... React, TypeScript, Python, FastAPI GraphQL * Familiarity with data infrastructure and API ...

Dryft, Inc

Founding Design Engineer

San Francisco, CA · On-site

THE ROLE As Founding Design Engineer , you'll work directly with our CEO, CTO, and customers to ... BE (Python): FastAPI with Pydantic v2, SQLModel, PostgreSQL with pgvector, dagster * AI: Pydantic ...

Dryft

Founding Full-Stack Engineer

San Francisco, CA · On-site

THE ROLE As Founding Fullstack Engineer , you'll be the brain behind Dryft's decision intelligence ... BE (Python): FastAPI with Pydantic v2, SQLModel, Postgres with pgvector, dagster * AI: Pydantic AI ...

Workhelix

Product Engineer

San Francisco, CA · On-site

Role We're hiring a Product Engineer to join our team and help us scale reliably as we grow. As we ... You'll work across our FastAPI (Python) / Postgres / React stack, touching everything from schema ...

Ohalo

Senior Full Stack Engineer

South San Francisco, CA · On-site

$150K - $190K/yr

Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ... Improve developer experience through better abstractions, tooling, CI/CD, and documentation.

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Python Fastapi Developer information

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$68

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How much do python fastapi developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python fastapi developer in Danville, CA is $68.59, according to ZipRecruiter salary data. Most workers in this role earn between $56.54 and $77.88 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What cities near Danville, CA are hiring for Python Fastapi Developer jobs? Cities near Danville, CA with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you

Senior ML Operations Engineer - Python

Texas State Library and Archives Commision

Oakland, CA • On-site

Full-time

Posted 12 days ago

Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.

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