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Nodejs Intern Jobs (NOW HIRING)

Stash

Engineering Intern

New York, NY · Hybrid

$35/hr

As an Engineering Intern, you'll work alongside experienced engineers, product managers, and ... Familiarity with React, React Native, Node.js, AWS, or modern backend technologies * Exposure to AI ...

Persistent Technology, Inc.

OR

Build and maintain backend services and REST APIs using Node.js and Express.js. * Integrate third-party AI/ML APIs for image generation and content features. * Support authentication and security ...

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How much do nodejs intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for nodejs intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Nodejs Intern vs Nodejs Developer?

AspectNodejs InternNodejs Developer
Required CredentialsTypically pursuing or recently completed relevant coursework or degreeProfessional experience, certifications, or proven skills in Node.js
Work EnvironmentEntry-level, supervised, learning-focusedFull-time, independent, project-driven
Employer & Industry UsageInternships in tech companies, startups, or IT departmentsFull-time roles in software development companies, tech firms
Search & Comparison IntentUnderstanding entry-level opportunities, learning pathsCareer progression, skill requirements

In summary, a Nodejs Intern is an entry-level position focused on learning and gaining experience, often requiring minimal prior experience. A Nodejs Developer is a more advanced role that involves actively building and maintaining applications, requiring relevant skills and experience.

What kinds of projects and tasks can a Node.js Intern expect to work on during their internship?

As a Node.js Intern, you will typically assist in developing and maintaining server-side applications using Node.js. Your daily tasks may include writing and testing code, fixing bugs, collaborating with senior developers on larger projects, and participating in code reviews. You might also work with databases, RESTful APIs, and integrate third-party services. This role offers a great opportunity to learn best practices in backend development and gain exposure to agile workflows within a supportive team environment.

What does a Node.js intern do?

A Node.js intern assists in developing and maintaining server-side applications using Node.js, a popular JavaScript runtime. Their responsibilities typically include writing backend code, debugging existing applications, integrating APIs, and collaborating with other team members to deliver scalable solutions. Interns often work under the guidance of senior developers, gaining hands-on experience in modern web development practices and tools. This role helps interns build a strong foundation in backend development and prepares them for more advanced software engineering positions.

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

To thrive as a Nodejs Intern, you need a solid understanding of JavaScript, basic knowledge of server-side development, and familiarity with Node.js frameworks, typically demonstrated through coursework or personal projects. Experience using version control systems like Git and exposure to databases such as MongoDB or MySQL are common technical requirements. Strong problem-solving abilities, willingness to learn, and effective teamwork set standout candidates apart. These skills are crucial for building reliable backend applications, adapting to evolving project needs, and collaborating with development teams.
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Nodejs Intern jobs near you
AI Engineer Intern - USA

AI Engineer Intern - USA

Black Box Corporation

Plano, TX

Part-time

Posted 24 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 ResponsibilitiesAI & 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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