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Python Intern Jobs in Texas (NOW HIRING)

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is ... As an SWBC intern, you will be learning on the job in real-time from talented professionals within ...

Engineering Intern

Irving, TX · On-site

$15.50 - $20.25/hr

Engineering Intern - Test Automation About Us EFJohnson Technologies is a subsidiary of JVCKENWOOD ... Experience with Python programming language (Perl and Selenium are a plus). * Experience with Git ...

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

The intern will assist with data-driven assessments of large financial datasets to help identify ... Experience with SQL, Python, R or other database tools * Coursework or experience in financial ...

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How much do python intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python intern in Texas is $35.14, according to ZipRecruiter salary data. Most workers in this role earn between $13.53 and $54.96 per hour, depending on experience, location, and employer.

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What are the key skills and qualifications needed to thrive as a Python Intern, and why are they important?

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.
What are the most commonly searched types of Python jobs in Texas? The most popular types of Python jobs in Texas are:
What cities in Texas are hiring for Python Intern jobs? Cities in Texas with the most Python Intern job openings:
Infographic showing various Python Intern job openings in Texas as of June 2026, with employment types broken down into 12% Internship, 50% Full Time, 26% Part Time, 2% Temporary, and 10% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $73,082 per year, or $35.1 per hour.
AI Intern

AI Intern

SWBC

San Antonio, TX • On-site

$13.50 - $18/hr

Part-time

Medical, Retirement

Posted 28 days ago


SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.
We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.
Why you'll love this role:
As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.
Essential duties include the following:
  • Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:
  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
  • Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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