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Open Source Internship Jobs in Gilbert, AZ (NOW HIRING)

AI Engineer III

Phoenix, AZ

$57 - $76.75/hr

Internship or early-career experience in fintech or other regulated environments. * Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling. Employment ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... Build and maintain a relationship with the open-source community by creating and contributing to ...

... open-source hardware and software. Oversee the hardening and configuration systems and system ... internship experiences. Minimum Qualifications: U.S. Citizen Active US Government Top Secret (TS ...

Firewall Network Security Engineer

Phoenix, AZ

$47.50 - $63.50/hr

... open-source hardware and software. Oversee the hardening and configuration systems and system ... internship experiences. Minimum Qualifications: This position requires verification of U.S ...

Strong software engineering fundamentals gained through studies, thesis work, internships, trainee roles, GitHub projects, hackathons, open-source contributions, or personal projects. * Experience ...

Sr. AI Software Engineer - Agent Harness

Phoenix, AZ · On-site

$121K - $160K/yr

Contributions to open-source agent / LLM tooling * Experience with agent security Requirements listed would be obtained through a combination of industry relevant job experience, internship ...

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Open Source Internship information

See Gilbert, AZ salary details

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How much do open source internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for open source internship in Gilbert, AZ is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.18 per hour, depending on experience, location, and employer.

What is an open source internship?

An Open Source Internship is a program where students or early-career professionals gain hands-on experience by contributing to open source software projects. These internships are often sponsored by tech organizations, non-profits, or companies, and allow interns to work with experienced developers from around the world. Interns typically learn software development, collaboration, and version control skills, while also making meaningful contributions to real-world projects. Open source internships can be remote or in-person and are a great way to build a professional network and portfolio.

What are the typical responsibilities of an open source intern and how do they collaborate with established contributors?

As an Open Source Intern, your daily tasks often include contributing code, reviewing pull requests, writing documentation, and participating in issue discussions. You will frequently collaborate with established contributors and maintainers through code reviews, chat platforms, and virtual meetings. This collaborative environment offers valuable learning opportunities and exposure to best practices in software development. Additionally, you may be assigned a mentor to guide you through project workflows, helping you build both technical and communication skills relevant to open-source communities.

What are the key skills and qualifications needed to thrive as an open source intern, and why are they important?

To thrive as an Open Source Intern, you need a solid understanding of programming languages (such as Python, JavaScript, or C++) and version control systems like Git, often supported by ongoing studies in computer science or related fields. Familiarity with collaborative platforms like GitHub, issue tracking tools, and participation in open source projects are typically expected. Strong communication, self-motivation, and a willingness to learn make candidates stand out, as open source work is highly collaborative and community-driven. These skills and qualities are important because they enable effective contribution to projects, foster teamwork, and help interns adapt quickly to new technologies and workflows.

What is the difference between Open Source Internship vs Open Source Developer?

AspectOpen Source InternshipOpen Source Developer
Required CredentialsTypically students or entry-level with basic coding skillsProven experience, often with a portfolio of contributions
Work EnvironmentCollaborative, often part-time or temporaryFull-time or freelance, ongoing contributions
Employer & Industry UsageOrganizations, universities, open source communitiesTech companies, open source projects, startups

Open Source Internships are designed for students or beginners gaining experience, often part-time and educational. Open Source Developers are experienced contributors actively maintaining or creating projects. Internships serve as a stepping stone, while developers are core members of open source communities.

What job categories do people searching Open Source Internship jobs in Gilbert, AZ look for?

The top searched job categories for Open Source Internship jobs in Gilbert, AZ are:

$57 - $76.75/hr

Full-time

Re-posted 23 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 152 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. 

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. 

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. 

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences-while meeting the high standards for security, explainability, reliability, and compliance required in financial services. 

We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. 


 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

What We're Looking For 

  • 4+ years of professional software engineering experience. 

  • Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). 

  • Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript). 

  • Familiarity with APIs, basic cloud concepts, and modern development practices. 

  • Interest in agentic AI systems, autonomy, and AI-assisted development workflows. 

  • Willingness to learn, take feedback, and grow technical ownership over time. 

  • Comfort working in collaborative, cross-functional teams. 

  • A strong customer mindset and curiosity about real-world problem solving. 

Preferred Qualifications 

  • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. 

  • Internship or early-career experience in fintech or other regulated environments. 

  • Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling. 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. 

As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. 

You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. 

This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers. 

What You'll Do 

  • Contribute to the design and implementation of LLM-powered and agentic product features. 

  • Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers. 

  • Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. 

  • Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. 

  • Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. 

  • Collaborate closely with product and design partners, learning to translate customer needs into technical solutions. 

Technical Environment 

  • We don't hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI. 

Core engineering stack 

  • Languages: Python, Go, TypeScript 

  • Cloud and infrastructure: AWS and/or GCP, Kubernetes 

  • APIs and services: REST, gRPC 

  • Distributed systems: event-driven architectures, including Kafka 

Agentic AI and ML  

  • Commercial and open-source LLMs integrated into agentic workflows 

  • Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation 

  • Schema validation and structured data handling 

AI-assisted development 

  • Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring 

  • Learning how to apply these tools responsibly while maintaining production-quality standards 

  • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment. 


What American Express employees say

Pay

Benefits

Hours and flexibility

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