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Part Time Software Developer Internship Jobs in Texas

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Experience in applied AI, machine learning, or software engineering with AI components . * Ability ...

AR Developer

San Antonio, TX · On-site +1

$69K - $158K/yr

If you're looking for the chance to not just develop software, but to help create a system that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Purchase to Pay Intern (Paid Internship)

Austin, TX · On-site

$14.75 - $20/hr

Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD ... September-May): Part-time, 15-20 hours per week, with a flexible schedule arranged to accommodate ...

Manufacturing Internship

Mission, TX · On-site

$13.25 - $17.25/hr

Manufacturing Interns - On site Location: Mission, Texas, USA Come build your career. It takes ... Familiarity with AutoCAD, SolidWorks, or similar engineering software is a plus. * Effective verbal ...

Data Engineer

San Antonio, TX

$103K - $124K/yr

This position requires strong software engineering and coding expertise, with demonstrated ... part time, and independent contractor) and annual random drug screening for all current T3i ...

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Understanding of software engineering fundamentals (unit tests, code reviews, documentation)

AI Intern

San Antonio, TX

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Understanding of software engineering fundamentals (unit tests, code reviews, documentation)

Collaborate with product, engineering, and business teams to identify AI opportunities. * Create ... Schedule: Part Time; 32 hours a week; 8 AM - 5 PM local time zone * Benefits: Check out our ...

Collaborate with product, engineering, and business teams to identify AI opportunities. * Create ... Schedule: Part Time; 32 hours a week; 8 AM - 5 PM local time zone * Benefits: Check out our ...

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Part Time Software Developer Internship information

What is a Part Time Software Developer Internship?

A Part Time Software Developer Internship is a temporary position where students or aspiring developers work part-time hours, typically while attending school or managing other commitments. Interns gain practical experience by assisting with software development projects, writing code, and collaborating with experienced developers. These internships often last a few months and provide valuable hands-on learning, mentorship, and exposure to real-world programming environments.

What kind of projects and responsibilities can I expect during a part-time software developer internship?

As a part-time software developer intern, you will typically work on real-world projects that support the team’s ongoing development efforts, such as debugging code, writing unit tests, or building new features under supervision. Interns are often given tasks that match their current skill level but also provide opportunities for growth, including exposure to code reviews and participation in agile meetings. You’ll likely collaborate closely with full-time developers and may be assigned a mentor to guide your progress. The work environment is usually supportive, encouraging interns to ask questions and contribute ideas while balancing learning with meaningful contributions.

What is the difference between Part Time Software Developer Internship vs Part Time Software Engineer?

AspectPart Time Software Developer InternshipPart Time Software Engineer
Required CredentialsTypically students or recent graduates, some coding knowledgeUsually requires relevant experience or certifications, such as a degree in CS or related field
Work EnvironmentInternship programs, learning-focused, often in tech companies or startupsProfessional setting, ongoing projects, more responsibility
Employer & Industry UsageUsed by companies to train and evaluate potential future employeesFull-time or part-time roles for ongoing development work

In summary, a Part Time Software Developer Internship is an entry-level, learning-focused position ideal for students or recent graduates, while a Part Time Software Engineer is a more experienced role with greater responsibilities in ongoing projects.

What are the key skills and qualifications needed to thrive as a Part Time Software Developer Intern, and why are they important?

To thrive as a Part Time Software Developer Intern, you need a solid understanding of programming fundamentals, problem-solving skills, and typically enrollment in or completion of a relevant computer science or software engineering program. Familiarity with coding languages such as Python, Java, or JavaScript, as well as version control systems like Git, is commonly expected. Strong communication, eagerness to learn, and the ability to work both independently and collaboratively help interns stand out. These skills and qualities are essential for contributing to projects effectively, adapting quickly, and gaining valuable industry experience.
What are the most commonly searched types of Part Time Software Developer jobs in Texas? The most popular types of Part Time Software Developer jobs in Texas are:
What cities in Texas are hiring for Part Time Software Developer Internship jobs? Cities in Texas with the most Part Time Software Developer Internship job openings:
AI Intern - Dallas, TX

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Posted 16 days ago


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.