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Internship Api Integration Jobs (NOW HIRING)

API Integration: Develop and consume RESTful or GraphQL APIs to connect different components of the ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

API Integration: Develop and consume RESTful or GraphQL APIs to connect different components of the ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

API Integration: Develop and consume RESTful or GraphQL APIs to connect different components of the ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

Internship: A semester long opportunity, Internships positions are a part-time employment ... API Integration - Build and test REST/GraphQL endpoints that connect the agent to external data ...

Internship: A semester long opportunity, Internships positions are a part-time employment ... API Integration - Build and test REST/GraphQL endpoints that connect the agent to external data ...

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Internship Api Integration information

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$44.5K

$124.3K

$173.5K

How much do internship api integration jobs pay per year?

As of Sep 15, 2026, the average yearly pay for internship api integration in the United States is $124,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is an internship API integration?

An Internship API Integration role involves working with application programming interfaces (APIs) to connect different software systems or services. Interns in this position typically help design, implement, and troubleshoot the connections between applications, ensuring data flows smoothly and securely. The role often includes learning about various API protocols, writing code to interact with APIs, and collaborating with development teams to support integration projects. This internship provides valuable hands-on experience with real-world technologies and enhances both programming and problem-solving skills.

What types of projects and responsibilities can an intern expect during an API integration internship?

As an API Integration intern, you can expect to work on projects that involve connecting different software systems through APIs, writing scripts to automate data transfers, and assisting with the documentation of integration processes. Typical responsibilities might include testing endpoints, troubleshooting integration issues, and collaborating with both developers and QA teams to ensure seamless data flow. This role often provides exposure to various programming languages and cloud platforms, offering a valuable learning experience for those interested in backend development or DevOps.

What are the key skills and qualifications needed to thrive as an API integration intern?

To thrive as an API Integration Intern, you need a solid understanding of programming languages (such as Python, JavaScript, or Java), basic knowledge of RESTful APIs, and a background in computer science or a related field. Familiarity with tools like Postman, Swagger, and version control systems like Git is typically required, and some internships may prefer candidates with relevant certifications. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with team members and resolve integration challenges. These competencies ensure seamless API integrations, support project goals, and contribute to the overall success of development teams.

What is the difference between Internship Api Integration vs API Developer?

AspectInternship Api IntegrationAPI Developer
Required CredentialsTypically pursuing or recent graduate in Computer Science or related fieldBachelor's or higher in Computer Science, Software Engineering, or related
Work EnvironmentInternship setting, often in tech companies or startupsFull-time professional role in software development teams
Employer & Industry UsageUsed in tech companies, startups, or organizations integrating APIsUsed across industries for building and maintaining APIs
Search & Comparison IntentUnderstanding entry-level API integration rolesUnderstanding professional API development roles

Internship Api Integration focuses on entry-level tasks like learning API basics and assisting in integration projects, often for students or recent graduates. API Developer roles involve designing, building, and maintaining APIs, requiring more experience and advanced skills. While both roles work with APIs, internships are stepping stones into the field, whereas API Developers are responsible for full lifecycle API management.

What cities are hiring for Internship Api Integration jobs?

Cities with the most Internship Api Integration job openings:

What are the most commonly searched types of Api Integration jobs?

The most popular types of Api Integration jobs are:

What states have the most Internship Api Integration jobs?

States with the most job openings for Internship Api Integration jobs include:

What other helpful pages are available for Internship Api Integration?

Other pages related to Internship Api Integration:

Infographic showing various Internship Api Integration job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,275 per year, or $59.7 per hour.

AI Automation Engineering Intern

San Jose, CA • On-site

Advantest
Manufacturing • 1 - 5K employees

$19.75 - $25.50/hr

Full-time

Re-posted 22 days ago


Job description

About the Role

We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is a unique opportunity to work at the intersection of AI-driven software automation and cutting-edge silicon hardware.

What You Will Do

  • Design, develop, and deploy AI-powered automation workflows to streamline silicon test processes, from loadboard bring-up through high-volume production.
  • Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
  • Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
  • Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
  • Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
  • Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
  • Document processes, automation recipes, and best practices to enable team-wide adoption.

Why This Role Matters

AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.

What You Will Gain

  • Hands-on experience applying AI to real-world semiconductor engineering problems.
  • Deep exposure to the full silicon lifecycle - from design validation through high-volume manufacturing.
  • Mentorship from experienced test and product engineers at the forefront of AI chip development.
  • A portfolio of automation projects you can showcase to future employers.
  • The opportunity to shape how a world-class engineering team integrates AI into daily operations.

What We Are Looking For

  • Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
  • Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
  • Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.
  • Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.
  • A builder's mindset - you see a manual process and immediately think about how to automate it.
  • Ability to work onsite at our San Jose, CA location five days per week. Relocation assistance is not provided to interns at this time.