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Salesforce Developer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Salesforce, and Azure services . This internship is designed to strengthen applied AI engineering ...

API, LLC

Member Services Manager

West Lake Hills, TX · Remote

... API programming * Promote the entire portfolio of core API programs (study, intern, virtual ... Experience using digital workflows/project management software/ and Salesforce CRM * Proven ability ...

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Salesforce Developer Intern information

What does a Salesforce Developer Intern do?

A Salesforce Developer Intern assists in designing, developing, and customizing applications on the Salesforce platform under the guidance of experienced developers. Their responsibilities often include writing code using Apex and Visualforce, participating in testing and debugging, and helping to integrate Salesforce with other systems. Interns may also work on user interface improvements and support the team in maintaining existing Salesforce solutions. This role provides hands-on experience with cloud technologies and helps interns build foundational skills for a career in Salesforce development.

What is the difference between Salesforce Developer Intern vs Salesforce Developer?

AspectSalesforce Developer InternSalesforce Developer
Required CredentialsTypically pursuing or recently completed a degree in CS or related field; Salesforce certifications are a plusRelevant Salesforce certifications (e.g., Salesforce Platform Developer I), experience in coding and development
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time role, responsible for designing, developing, and maintaining Salesforce solutions
Employer & Industry UsageInternship programs in tech companies, consulting firms, or Salesforce partnersFull-time positions in similar industries, including tech, consulting, and enterprise organizations

The main difference between a Salesforce Developer Intern and a Salesforce Developer is experience level and responsibilities. Interns are typically students or recent graduates gaining initial exposure, while Developers are full-time professionals responsible for building and maintaining Salesforce applications.

What types of projects and tasks can a Salesforce Developer Intern expect to work on during their internship?

As a Salesforce Developer Intern, you can expect to contribute to real-world projects such as customizing Salesforce applications, building and testing Lightning components, and developing automation using Apex triggers or workflows. Interns often assist with data migration, integration with third-party tools, and troubleshooting user issues under the guidance of experienced developers. You will frequently collaborate with business analysts, administrators, and other developers to deliver solutions that align with organizational needs, providing valuable exposure to Agile development practices and cross-functional teamwork.

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

To thrive as a Salesforce Developer Intern, you need a foundational understanding of programming concepts, familiarity with Salesforce CRM, and a degree or coursework in computer science or a related field. Experience with Apex, Visualforce, Salesforce Lightning, and knowledge of relevant certifications like Salesforce Platform Developer I are advantageous. Strong problem-solving skills, attention to detail, and a willingness to learn new technologies set standout candidates apart. These skills and qualities are crucial for effectively developing, customizing, and optimizing Salesforce solutions within a collaborative team environment.

What are the most commonly searched types of Salesforce Developer jobs in Texas?

The most popular types of Salesforce Developer jobs in Texas are:

What cities in Texas are hiring for Salesforce Developer Intern jobs?

Cities in Texas with the most Salesforce Developer Intern job openings:

Infographic showing various Salesforce Developer Intern job openings in Texas as of August 2026, with employment types broken down into 16% Internship, 35% Full Time, and 49% Part Time. Highlights an 68% In-person, and 32% Remote job distribution.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 21 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.

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