1

Internship Fastapi Jobs in Washington (NOW HIRING)

Minimum of three (3) years of professional experience in software development (internships may ... Minimum of two (2) years of experience with Python frameworks such as FastAPI, Flask, or Django.

The Work itself: * Design and develop backend services and APIs using Python (FastAPI) and ... Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM ...

The Work itself: * Design and develop backend services and APIs using Python (FastAPI) and ... Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM ...

Internship Fastapi information

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 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 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 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 Washington? The most popular types of Fastapi jobs in Washington are:
What cities in Washington are hiring for Internship Fastapi jobs? Cities in Washington with the most Internship Fastapi job openings:

Power Systems Software Engineer Student Employee

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$31 - $36/hr

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

Job Title:
Power Systems Software Engineer Student Employee
Location:
Remote/Home Based
Job Summary and Description:
This is an exciting internship opportunity for a motivated student to play a meaningful role in modernizing critical power systems R&D software. You will contribute to the transition of our existing monolithic applications - centered around the Grid Analysis Toolkit (GAT) and Automation of Outage Coordination (AOC) - into a modern microservices architecture combined with a multi-agent AI platform.
You will help design, develop, and test new services and intelligent agents that will make power system analysis faster, more reproducible, scalable, and intelligent. This is a hands-on role where you will work directly with experienced power systems engineers on real research software that supports grid modernization.
Duties & Responsibilities
  • Design and develop microservices (primarily in Python/FastAPI) for key capabilities such as data ingestion, topology processing, power flow, contingency analysis, and outage coordination.
  • Implement and integrate AI agent workflows (using frameworks like LangGraph) that orchestrate complex research tasks and interact with the new microservices.
  • Wrap and modernize existing GAT library functions (topology processing, power flow, contingency analysis, model processing, time-series ingestion) into scalable services.
  • Build supporting infrastructure components (Docker containers, CI/CD pipelines, observability) on Microsoft Azure.
  • Ensure high reproducibility of results using tools such as MLflow and containerization.
  • Document technical designs, methodologies, and results; contribute to internal reports and presentations.
  • Participate in code reviews, architecture discussions, and agile-style team collaboration.
  • Support the gradual migration from the current monolith to the new architecture using incremental approaches.

Qualifications
Required:
  • Currently completed a Master's degree or pursuing PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong proficiency in Python.
  • Solid understanding of power system fundamentals (power flow, contingency analysis, grid modeling, etc.).
  • Experience (academic or personal projects) developing software applications.
  • Interest in modern software architecture, cloud computing, and AI.

Preferred / Strong Plus:
  • Experience with power systems analysis tools or libraries (GAT, PyPSA, MATPOWER, or similar).
  • Familiarity with any of the following: FastAPI, Docker, Kubernetes (AKS), Azure cloud services, PostgreSQL, GitHub Actions, or MLflow.
  • Exposure to microservices architecture, REST APIs, or event-driven systems.
  • Experience or strong interest in building AI agents / LLM-based workflows.
  • Knowledge of HTML5 / basic front-end development (a plus for building simple interfaces).

Ideal Candidate:
  • Master's student in Electrical/Computer Engineering with a focus on power systems software or software engineering for energy systems.
  • Passionate about both power systems engineering and modern software practices.
  • Strong analytical, problem-solving, technical writing, and presentation skills.
  • Self-motivated, able to work independently in a remote setting while collaborating effectively.

What You Will Gain:
  • Hands-on experience with cutting-edge software architecture (microservices + multi-agent systems) in a real power systems R&D environment.
  • Deep exposure to Azure cloud technologies and DevOps practices.
  • Opportunity to work with production-grade GAT and AOC tools that support grid reliability research.
  • Mentorship from experienced power systems and software engineers.
  • Valuable portfolio pieces (code, documentation, presentations) for your future career in energy tech or software engineering.
  • Potential for continued part-time or full-time collaboration after the internship.

Application Instructions
Please submit your resume, a brief cover letter (or statement of interest), and any relevant projects or GitHub repositories. In your application, please highlight any experience with Python, power system modeling, or modern software development.
The hourly rate range for Student positions are:
  • Undergraduate: $16-29 per hour
  • Masters: $27-33 per hour
  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com