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Internship Fastapi Jobs in Dallas, TX (NOW HIRING)

Winaxis

AI Engineer

Dallas, TX · On-site

Knowledge of FastAPI or Flask. * Exposure to cloud platforms such as AWS, Azure, or Google Cloud. * Experience with Docker is an added advantage. * Personal AI projects, hackathons, internships, or ...

New

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Experience building APIs using FastAPI, Flask, or Node.js (TypeScript). * Frontend Development:

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Experience building APIs using FastAPI, Flask, or Node.js (TypeScript). * Frontend Development:

All JobsFastapi JobsInternship Fastapi JobsInternship Fastapi Jobs in Dallas, TX

Internship Fastapi information

See Dallas, TX salary details

$8

$15

$21

How much do internship fastapi jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for internship fastapi in Dallas, TX is $15.38, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $17.36 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 Dallas, TX?

The most popular types of Fastapi jobs in Dallas, TX are:

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For Internship Fastapi jobs in Dallas, TX, the most frequently searched job titles are:

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The top searched job categories for Internship Fastapi jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Internship Fastapi job openings:

Internship Fastapi jobs near you
Infographic showing various Internship Fastapi job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $31,984 per year, or $15.4 per hour.

AI Engineer

Winaxis

Dallas, TX • On-site

Full-time

Posted 3 days ago

New

Job description

Position : AI EngineerExperience

0–3 Years

Employment Type

Full-time

Location

Hybrid

About the Role

We are looking for a passionate and enthusiastic AI Engineer to join our growing AI team. This role is ideal for fresh graduates and early-career professionals who are eager to build intelligent applications using Generative AI, Large Language Models (LLMs), and Machine Learning. You will work alongside experienced engineers to develop, test, and deploy AI-powered solutions that solve real business problems.

Key Responsibilities

  • Develop and maintain AI-powered applications using modern AI frameworks.

  • Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.).

  • Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents.

  • Write clean, efficient, and well-documented Python code.

  • Integrate AI models with web applications and REST APIs.

  • Perform prompt engineering and optimize AI model outputs.

  • Work with structured and unstructured data for AI applications.

  • Debug, test, and improve AI solutions based on performance metrics.

  • Collaborate with software engineers, product managers, and designers to deliver AI features.

  • Stay updated with the latest advancements in Generative AI and Machine Learning.

Required Skills

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.

  • 0–3 years of experience in AI, Machine Learning, or Software Development (internships and academic projects are welcome).

  • Strong programming skills in Python.

  • Basic understanding of Machine Learning concepts and NLP.

  • Familiarity with Generative AI and Large Language Models.

  • Knowledge of AI frameworks such as LangChain, LlamaIndex, or similar is a plus.

  • Understanding of REST APIs and JSON.

  • Basic knowledge of SQL and databases.

  • Familiarity with Git and version control.

  • Strong analytical, problem-solving, and communication skills.

  • Eagerness to learn and adapt to new AI technologies.

Preferred Skills

  • Hands-on experience with OpenAI, Gemini, Claude, or other LLM APIs.

  • Basic understanding of Retrieval-Augmented Generation (RAG).

  • Familiarity with vector databases such as Chroma, Pinecone, FAISS, or Weaviate.

  • Knowledge of FastAPI or Flask.

  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

  • Experience with Docker is an added advantage.

  • Personal AI projects, hackathons, internships, or GitHub contributions.

What We're Looking For

  • Passion for Artificial Intelligence and emerging technologies.

  • Strong curiosity and willingness to experiment with new tools.

  • Ability to work independently and as part of a collaborative team.

  • Good communication and documentation skills.

  • A growth mindset and eagerness to continuously learn.

What We Offer

  • Opportunity to work on cutting-edge AI and Generative AI projects.

  • Mentorship from experienced AI engineers.

  • Learning and certification support.

  • Career growth in a fast-paced AI environment.

  • Collaborative and innovation-driven workplace.

  • Competitive salary and benefits.

Experience: 0–3 Years (Freshers are encouraged to apply)
Department: Artificial Intelligence