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Internship Fastapi Developer Jobs in The Colony, TX

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:

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Experience building APIs using FastAPI, Flask, or Node.js (TypeScript). * Frontend Development:

All JobsInternship Fastapi Developer JobsInternship Fastapi Developer Jobs in The Colony, TX

Internship Fastapi Developer information

See The Colony, TX salary details

$10

$21

$36

How much do internship fastapi developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for internship fastapi developer in The Colony, TX is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $22.50 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.

Who is the developer of Fastapi?

FastAPI is an open-source web framework developed by Sebastián Ramírez. It is maintained by the community and designed for building APIs with Python, emphasizing speed and ease of use. Developers working with FastAPI often need knowledge of Python, asynchronous programming, and RESTful API design.

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.

Do CS interns get paid?

Computer Science (CS) interns often receive compensation, but whether they are paid depends on the company and internship program. Paid internships are common in the tech industry, especially for competitive roles involving skills like coding and software development, including FastAPI development. Unpaid internships may also exist but are less common and often require specific conditions or academic credit arrangements.

What are the job opportunities for Python programmers?

Python programmers, including those specializing as FastAPI developers, have a wide range of job opportunities in software development, web applications, data analysis, and automation. Skills in frameworks like FastAPI, along with knowledge of RESTful APIs and Python libraries, increase employability across industries such as technology, finance, and healthcare.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in auditing, consulting, tax, and advisory services, often serving as a pathway to full-time roles within these firms for aspiring professionals, including those interested in roles like FastAPI developers who seek experience in enterprise environments. Candidates should have strong technical skills, relevant coursework, and may need to complete application processes that include interviews and assessments.
What job categories do people searching Internship Fastapi Developer jobs in The Colony, TX look for? The top searched job categories for Internship Fastapi Developer jobs in The Colony, TX are:
What cities near The Colony, TX are hiring for Internship Fastapi Developer jobs? Cities near The Colony, TX with the most Internship Fastapi Developer job openings:
Internship Fastapi Developer jobs near you
AI Engineer Intern - USA

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Posted 4 days ago

Key responsibilities

  • Build and integrate AI solutions using pre-trained LLMs, traditional machine learning techniques, and deterministic approaches for real-world use cases.

  • Develop, test, and maintain AI agents, backend services, data pipelines, and user interfaces, and integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

  • Support testing, debugging, deployment, and monitoring of AI services, and document AI workflows and integrations.

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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