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Internship Fastapi Jobs in Texas (NOW HIRING)

Smart IMS

Artificial Intelligence/Machine Learning

Austin, TX · On-site

$59.50 - $77.25/hr

... work, internships, or substantial projects * • AI/ML Fundamentals - Experience building and ... Python | PyTorch/TensorFlow | Scikit-learn | FastAPI/Flask | Git | Bash/PowerShell ML/AI Tools:

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:

ePATHUSA, Inc.

Sr. AI Engineer

Houston, TX · On-site

... 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 ...

EPATHUSA

Sr. AI Engineer

Houston, TX · On-site

... 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 ...

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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.

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Internship Fastapi jobs near you
Artificial Intelligence/Machine Learning

Artificial Intelligence/Machine Learning

Smart IMS

Austin, TX • On-site

$59.50 - $77.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI/ML Engineer Austin TX 78744

Minimum Years of Experience, Skills, and Qualifications

  1. Core Technical (Foundational):
  • • Python – 1-2 years of hands-on experience through professional work, internships, or substantial projects
  • • AI/ML Fundamentals – Experience building and evaluating ML models beyond coursework (projects, internships, early production exposure)
  • • Cloud Platforms – Familiarity with at least one major cloud platform (AWS, Azure, GCP, or OCI); production depth not required
  • • DevOps Basics – Introductory experience with Docker and basic CI/CD concepts
  • • Databases – Basic experience with SQL and exposure to NoSQL or vector databases
  • • Scripting – Working knowledge of Bash or PowerShell for simple automation
  • ML Domains (Experience or strong interest in 1-2 areas):
    • • NLP/LLMs: Coursework or project experience with transformers, prompt engineering, or LLM applications
    • • Time Series: Introductory experience with forecasting or anomaly detection
    • • Recommender Systems: Academic or project exposure to personalization or ranking models
    • • MLOps Tools: Familiarity with MLflow, Airflow, or similar tools is a plus but not required

    Preferred Skills and Qualifications

      • Exposure to CI/CD tools such as GitHub Actions or Azure DevOps
      • Basic computer vision experience through projects or labs
      • Familiarity with PyTorch or TensorFlow
      • Interest in edge deployment, streaming data, or real-time ML systems
      • Open-source contributions, coursework projects, or technical blogs
    2. Our Stack: Core: Python | PyTorch/TensorFlow | Scikit-learn | FastAPI/Flask | Git | Bash/PowerShell ML/AI Tools: MLflow | Airflow/Kubeflow | Azure AI | AWS SageMaker/Bedrock | GCP Vertex AI | OCI AI Services Infrastructure: Docker | Kubernetes | AWS/Azure/GCP/OCI | PostgreSQL | Azure DevOps | GitHub Actions
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    About Smart IMS

    Sourced by ZipRecruiter

    Smart IMS has grown to be one of the trusted technology and service partner for enterprises across the globe. Founded by business and technology experts with extensive experience in designing, implementing, and managing large and complex projects at Fortune 500 companies, we’ve perfected the craft of creating solutions that truly make a difference.

    Industry

    Technology, communication and media

    Company size

    201 - 500 Employees

    Headquarters location

    Plainsboro, NJ, US

    Year founded

    1994

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