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Internship Fastapi Jobs in Santa Clara, CA (NOW HIRING)

Software Engineer

Hayward, CA · On-site

$137.39 - $185.88/hr

Build backend services and RESTful APIs using FastAPI and Flask to connect frontend applications ... internship or co-op in each of the following: * Algorithm design and analysis; * Database systems ...

Software Engineer

San Jose, CA · On-site

$83 - $96/hr

... internships, co-ops, and substantial personal/open-source projects count * Solid Python ... Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI ...

Software Engineer

San Jose, CA · On-site

$60 - $70/hr

... internships, co-ops, and substantial personal/open-source projects count * Solid Python ... Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI ...

Design, build, and integrate REST APIs using frameworks such as FastAPI, Flask, or Django ... including internships, co‑ops, academic projects, hackathons, or substantial personal ...

Design, build, and integrate REST APIs using frameworks such as FastAPI, Flask, or Django ... internships, co-ops, academic projects, hackathons, or substantial personal/open-source projects.

Internship Fastapi information

See Santa Clara, CA salary details

$10

$18

$25

How much do internship fastapi jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship fastapi in Santa Clara, CA is $18.26, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.62 per hour, depending on experience, location, and employer.

What is an internship in FastAPI?

An Internship in FastAPI is a temporary position for students or recent graduates to gain hands-on experience working with FastAPI, a modern Python web framework for building APIs. Interns typically assist in developing, testing, and deploying web applications using FastAPI, often under the guidance of experienced developers. This internship helps participants strengthen their Python programming skills, learn best practices in API development, and understand the workflow of real-world software projects. It also offers networking opportunities and can serve as a stepping stone to a full-time role in backend or web development.

What types of projects can interns expect to work on during a FastAPI internship?

As a FastAPI intern, you will typically work on building and enhancing backend APIs, often as part of a development team focused on creating scalable web services or integrating third-party APIs. Projects may include implementing new endpoints, optimizing performance, writing automated tests, and collaborating with frontend developers to ensure seamless data flow. You'll gain experience with asynchronous programming, modern Python practices, and tools like Docker and Git, while often participating in code reviews and agile sprint meetings. This hands-on exposure is valuable for understanding real-world backend development workflows and best practices.

What are the key skills and qualifications needed to thrive as an internship FastAPI developer, and why are they important?

To thrive as an Internship FastAPI developer, you need a solid understanding of Python programming, RESTful API concepts, and basic web development principles. Familiarity with FastAPI, version control systems like Git, and experience using tools such as Docker or Postman are typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and quickly adapt to new challenges. These skills and qualities are crucial for efficiently contributing to API development projects and succeeding in a fast-paced learning environment.

What is the difference between Internship Fastapi vs Junior Backend Developer?

AspectInternship FastapiJunior Backend Developer
Required CredentialsBasic programming knowledge, coursework, or self-study in Python and FastapiDegree in Computer Science or related field, some experience with backend frameworks
Work EnvironmentInternship setting, learning-focused, often in tech companies or startupsFull-time or part-time employment, collaborative team environment
Industry UsageEntry-level, training, and skill development phaseDeveloping and maintaining backend services in production

Internship Fastapi positions are designed for learners gaining hands-on experience with Fastapi and Python, often as part of an internship program. Junior Backend Developers are more experienced, responsible for building and maintaining backend systems in a professional setting. While internships focus on learning, junior roles involve applying skills to real-world projects.

What are the most commonly searched types of Fastapi jobs in Santa Clara, CA?

The most popular types of Fastapi jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Internship Fastapi jobs?

Cities near Santa Clara, CA with the most Internship Fastapi job openings:

Junior Software Engineer

Xoriant Corporation

San Jose, CA • On-site

Other

Posted 7 days ago


Job description

Job Title: Junior Software Engineer

Location: San Jose, CA (Onsite)

Description

We''re looking for a junior software engineer who can help build production applications powered by agentic AI. You''ll work primarily in Python, designing and integrating APIs and shipping features that incorporate LLM capabilities into real software systems.

Requirements

• BS in Computer Science, Software Engineering, or related field — or equivalent practical experience

• 0 – 2 years of software engineering experience; internships, co-ops, and substantial personal/open-source projects count

• Solid Python fundamentals: writing clean, testable code, working with common tooling (git, virtual environments, debugging), and reading others'' code

• Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI, Flask, Django), consuming third-party APIs, handling authentication, pagination, and/or error cases

• Basic software engineering hygiene: version control, code review, writing tests, and working in a team workflow

• Familiarity with agentic AI concepts — tool/function calling, prompt chaining, or agent loops — demonstrated through coursework, hackathons, personal projects, or work experience. Exposure to frameworks like LangGraph, LangChain, or similar is a strong plus

• Some hands-on experience calling LLM APIs (OpenAI, Anthropic, or open-source models) as part of a larger application Bonus

• Exposure to databases (SQL or NoSQL), caching, or message queues

• Experience with async/concurrent programming in Python

• Familiarity with RAG concepts: embeddings, vector databases, retrieval pipelines