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Fastapi Developer Jobs in Pittsburg, CA (NOW HIRING)

Experience building APIs with modern Python frameworks (FastAPI, Django, etc.) * Experience ... Rapidly apply LLM techniques: prompt engineering, fine-tuning, RAG * Stay current with generative ...

Product Engineer

San Francisco, CA · On-site

$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 ...

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the AI Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

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 ...

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 ...

Full Stack Engineer

San Francisco, CA · On-site

$120 - $170/hr

... FastAPI/Django). * Database & ORM knowledge Must Have -- SQL expertise (PostgreSQL/MySQL) and ... Cloud & basic DevOps Must Have -- familiarity with AWS (EC2, S3, Lambda) or similar, and ...

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 ...

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Fastapi Developer information

See Pittsburg, CA salary details

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How much do fastapi developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for fastapi developer in Pittsburg, CA is $58.73, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $71.88 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the most commonly searched types of Fastapi Developer jobs in Pittsburg, CA?

The most popular types of Fastapi Developer jobs in Pittsburg, CA are:

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For Fastapi Developer jobs in Pittsburg, CA, the most frequently searched job titles are:

What job categories do people searching Fastapi Developer jobs in Pittsburg, CA look for?

The top searched job categories for Fastapi Developer jobs in Pittsburg, CA are:

What cities near Pittsburg, CA are hiring for Fastapi Developer jobs?

Cities near Pittsburg, CA with the most Fastapi Developer job openings:

AI Developer with Python

MphasiS Corporation USA

San Francisco, CA • On-site

$59.25 - $81.50/hr

Other

Re-posted 4 hours ago


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