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:
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:
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:
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:
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:
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:
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:
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:
Internship Fastapi information
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?
| Aspect | Internship Fastapi | Junior Backend Developer |
|---|---|---|
| Required Credentials | Basic programming knowledge, coursework, or self-study in Python and Fastapi | Degree in Computer Science or related field, some experience with backend frameworks |
| Work Environment | Internship setting, learning-focused, often in tech companies or startups | Full-time or part-time employment, collaborative team environment |
| Industry Usage | Entry-level, training, and skill development phase | Developing 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 Texas?
The most popular types of Fastapi jobs in Texas are:
What are popular job titles related to Internship Fastapi jobs in Texas?
For Internship Fastapi jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship Fastapi jobs in Texas look for?
The top searched job categories for Internship Fastapi jobs in Texas are:
What cities in Texas are hiring for Internship Fastapi jobs?
Cities in Texas with the most Internship Fastapi job openings:
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).
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.
- 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.
- 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.
- 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.
- 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).
- 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.
- Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
- 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.
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.