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Internship Fastapi Developer Jobs in Houston, TX

... FastAPI, or Django) or Node.js to support energy data processing. * App Development: Build and ... internships, personal projects, or coursework acceptable). AI/ML Experience: * Candidates should ...

... FastAPI, or Django) or Node.js to support energy data processing. * App Development: Build and ... internships, personal projects, or coursework acceptable). AI/ML Experience: * Candidates should ...

Internship Fastapi Developer information

See Houston, TX salary details

$11

$21

$37

How much do internship fastapi developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship fastapi developer in Houston, TX is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $23.17 per hour, depending on experience, location, and employer.

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 principles, and basic web development concepts, typically supported by coursework or personal projects. Familiarity with FastAPI, version control systems like Git, and tools such as Docker or Postman is commonly expected. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate with teams and adapt quickly. These capabilities are crucial for delivering efficient, maintainable APIs and contributing meaningfully in a professional development environment.

What types of projects and tasks can an Internship FastAPI Developer expect to work on during their internship?

As an Internship FastAPI Developer, you will typically work on building and maintaining RESTful APIs using the FastAPI framework. Your daily responsibilities may include writing endpoint logic, integrating with databases, writing automated tests, and collaborating with senior developers during code reviews. Interns often participate in agile ceremonies and may be assigned independent features or bug fixes, providing valuable hands-on experience. This collaborative environment helps interns develop both technical and teamwork skills, and high-performing interns may have opportunities for full-time employment or advanced roles after their internship.

What is an Internship FastAPI Developer?

An Internship FastAPI Developer is an intern who focuses on building web applications and APIs using the FastAPI framework, which is a modern, high-performance web framework for Python. During the internship, the developer typically works under supervision to learn best practices in API design, Python programming, and web development. Responsibilities may include writing code, debugging, testing APIs, and collaborating with other team members on projects. The internship provides practical experience and helps interns build skills that are valuable for a career in backend or full-stack development.
What are the most commonly searched types of Fastapi Developer jobs in Houston, TX? The most popular types of Fastapi Developer jobs in Houston, TX are:
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What cities near Houston, TX are hiring for Internship Fastapi Developer jobs? Cities near Houston, TX with the most Internship Fastapi Developer job openings:
Sr. AI Engineer

Sr. AI Engineer

ePATHUSA, Inc.

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Job Description
As an AI/ML Full Stack Engineer at Calpine Inc., you will contribute to the development of AI-driven tools and applications to optimize energy operations, enhance forecasting, and improve operational efficiency. You will work on both front-end and back-end development, integrating machine learning models, including large language models (LLMs) and generative AI, into Calpine's energy management systems. This role is ideal for professionals with up to 5 years of experience who are passionate about AI, web development, and solving real-world energy sector challenges.
Job Responsibilities
  • AI/ML Integration: Collaborate with data scientists to integrate machine learning models (e.g., using TensorFlow, PyTorch, or scikit-learn) for applications such as energy demand forecasting, predictive maintenance, or carbon emission optimization.
  • Back-End Development: Develop and optimize server-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing.
  • App Development: Build and maintain responsive user interfaces for internal tools and dashboards using modern JavaScript frameworks (e.g., React, Vue.js) and CSS frameworks like Tailwind CSS.
  • Generative AI Development: Design and implement generative AI solutions, including LLM-based applications (e.g., using models like GPT or BERT), to create automated reports, simulate energy scenarios, or enhance decision-support tools for operational teams.
  • Data Pipeline Support: Assist in building and maintaining data pipelines for processing real-time and historical energy data to support AI-driven applications.
  • API Development: Design and implement RESTful APIs to connect front-end interfaces with AI/ML back-end services and energy data systems.
  • Testing and Debugging: Write unit and integration tests to ensure code quality and debug issues across the full stack.
  • Collaboration: Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpine's operational and sustainability goals.
  • Continuous Learning: Stay updated on AI/ML advancements, including generative AI and LLMs, full-stack development trends, and energy industry innovations to contribute innovative ideas.

Requirements
Experience:
  • Position typically requires 10 years of IT experience, with 5 years of experience focused in software development, with hands-on exposure to full-stack development and experience with AI/ML projects (professional work, internships, personal projects, or coursework acceptable).

AI/ML Experience:
  • Candidates should have experience or demonstrable familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, with a focus on developing, fine-tuning, or deploying machine learning models for practical applications.
  • Exposure to building or integrating AI-driven solutions, such as predictive analytics, anomaly detection, or optimization algorithms, is highly valued.
  • Experience with generative AI platforms and large language model (LLM)-based applications, such as chatbots, automated content generation, or decision-support systems, is a significant plus.
  • Candidates should demonstrate an ability to apply AI/ML techniques to solve business problems, ideally in domains like energy, operations, or data-driven decision-making.

Education:
  • Bachelor's degree in computer science, Engineering, Data Science, or a related field (or equivalent experience).

Technical Skills:
  • Proficiency in Python (Node.js, React, or similar frameworks).
  • Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar).
  • Experience with databases (e.g., PostgreSQL, MongoDB) and REST API development.
  • Basic understanding of cloud platforms (e.g., AWS, GCP, Azure) is a plus.
  • Knowledge of version control systems (e.g., Git).

Soft Skills:
  • Strong problem-solving skills and eagerness to learn.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
  • Good communication skills to articulate technical concepts to non-technical stakeholders.

Nice-to-Haves:
  • Experience with containerization (e.g., Docker) or CI/CD pipelines.
  • Familiarity with front-end styling frameworks like Tailwind CSS.
  • Exposure to energy sector data or analytics (e.g., time-series data, forecasting).
  • Contributions to open-source projects or personal AI/ML projects, particularly those involving generative AI or LLM-based applications.

Benefits
Benefits include:
  • Medical, vision and dental
  • Prescription drug coverage
  • Calpine's Retirement Savings Plan (401(K)) matching
  • Paid time off and paid parental leave
  • Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
  • Life insurance
  • Education reimbursement program
  • Adoption assistance
  • Scholarship and vocational grant programs
  • Training and education opportunities
  • Bonus eligible