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Python Flask Internship Jobs in Texas (NOW HIRING)

Winaxis

AI Engineer

Dallas, TX · On-site

... internships and academic projects are welcome). * Strong programming skills in Python. * Basic ... Knowledge of FastAPI or Flask. * Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

New

Copart, Inc.

Database Engineering Intern

Dallas, TX · On-site

This internship will provide hands-on experience in database modeling, development, and maintenance ... of Python Object Oriented Programming, design patterns, algorithms, and data structures. • ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building or ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building or ...

All JobsPython Flask JobsPython Flask Internship JobsPython Flask Internship Jobs in Texas

Python Flask Internship information

What is a Python Flask internship?

A Python Flask internship is a temporary position designed to give students or aspiring developers hands-on experience working with the Flask web framework in Python. Interns typically assist with building, testing, and maintaining web applications using Flask, learning about backend development, REST APIs, and software best practices. This internship helps individuals gain practical skills in Python programming, web frameworks, and collaborative development environments. It is ideal for those looking to start a career in web development or backend engineering.

What types of projects can I expect to work on during a Python Flask internship?

During a Python Flask internship, you will typically work on web-based projects such as building RESTful APIs, developing backend functionality for web applications, and integrating third-party services. Interns often collaborate with experienced developers, participate in code reviews, and contribute to both new and existing projects. You may also gain exposure to database management, deployment processes, and using tools like Git for version control. This hands-on experience is designed to strengthen your programming skills and introduce you to industry best practices.

What are the key skills and qualifications needed to thrive as a Python Flask intern?

To thrive as a Python Flask Intern, you need a strong understanding of Python programming, web development fundamentals, and familiarity with the Flask framework, typically demonstrated through coursework or personal projects. Experience with version control systems like Git, basic knowledge of databases (such as SQLite or PostgreSQL), and awareness of RESTful API development are often required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate with team members and adapt in a fast-paced environment. These skills are essential for contributing to real-world projects, gaining practical experience, and building a foundation for a successful software development career.

What is the difference between Python Flask Internship vs Python Developer?

AspectPython Flask InternshipPython Developer
Required CredentialsBasic programming knowledge, coursework, or certifications in PythonAdvanced Python skills, relevant certifications, and experience
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time roles, project ownership, team collaboration
Employer & Industry UsageStartups, tech companies, educational programsTech firms, software companies, enterprise solutions
Search & Comparison IntentLearning, entry-level opportunities, internshipsCareer advancement, full-time employment, skill development

The main difference between a Python Flask Internship and a Python Developer role lies in experience level and responsibilities. Internships focus on learning, gaining practical experience, and mentorship, while Python Developer positions require advanced skills, project ownership, and full-time commitment. Internships are ideal for beginners, whereas Python Developers are experienced professionals contributing to complex projects.

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Python Flask Internship jobs near you

AI Engineer

Winaxis

Dallas, TX • On-site

Full-time

Posted yesterday

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