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Internship Full Stack Software Developer Jobs in Pennsylvania

Full Stack Developer Location: Exton,PA (Onsite) Key responsibilities: * Beheavily involved with ... Troubleshootand resolve software bugs and production issues. Required Soft Skills: * Shouldbe able ...

Full Stack Developer Location: Exton,PA (Onsite) Key responsibilities: Be heavily involved with ... Troubleshoot and resolve software bugs and production issues. Required Soft Skills: Should be able ...

NET Software Developer who has application development expertise, as well as analytical and problem ... Develop and maintain full-stack software solutions. * Design APIs and integrations across internal ...

Troubleshootand resolve software bugs and production issues. RequiredSoft Skills: * Shouldbe able ... Fluentin programming languages such as java, typescript and react. * 4+years of Full stack ...

New

Engineer, Software

Fort Washington, PA · On-site

$185K - $245K/yr

Role Overview As a Full Stack Software Engineer , you will be both a player and a coach .You ... Act as a technical lead for contractors and interns , providing guidance, code reviews, and ...

Full stack developer

Pittsburgh, PA · On-site

$80K - $100K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. * Proven experience as a Full Stack Developer or similar role with a strong ...

Showing results 41-60

Internship Full Stack Software Developer information

See Pennsylvania salary details

$24

$59

$86

How much do internship full stack software developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship full stack software developer in Pennsylvania is $59.40, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.41 per hour, depending on experience, location, and employer.

What is an internship full stack software developer?

An Internship Full Stack Software Developer job involves gaining hands-on experience in both front-end and back-end development. Interns collaborate with teams to design, develop, and test web applications using technologies like HTML, CSS, JavaScript, databases, and server-side languages. They learn industry best practices, version control (e.g., Git), and work on real-world projects. This role helps interns build their technical skills and understand the software development lifecycle while contributing to a company's development efforts.

What types of projects or tasks can I expect to work on as a full stack software developer intern?

As a Full Stack Software Developer intern, you can expect to work on a variety of tasks ranging from assisting with website interface updates to building and testing application features on both the front-end and back-end. Common responsibilities may include fixing bugs, writing and reviewing code, collaborating with senior developers, and participating in team meetings or code reviews. You'll likely use popular development tools and communicate regularly with both designers and software engineers to support ongoing projects. This hands-on experience will help you develop practical technical skills and expose you to the collaborative workflows common in modern software teams.

What are the key skills and qualifications needed to thrive as an internship full stack software developer?

To thrive as an Internship Full Stack Software Developer, you need a basic understanding of both front-end and back-end development, familiarity with core programming languages (such as JavaScript, Python, or Java), and enrollment in or completion of a related computer science program. Experience with frameworks like React or Node.js, version control systems like Git, and exposure to databases are typically beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help you collaborate well with diverse teams. These capabilities are important because interns are expected to quickly adapt, contribute to multiple layers of a project, and clearly communicate progress or challenges in a fast-paced environment.

How to get an internship for full stack software developer?

To secure a full stack software developer internship, candidates should build a strong portfolio demonstrating skills in front-end and back-end technologies, such as JavaScript, HTML, CSS, and frameworks like React or Node.js. Gaining experience through personal projects, contributing to open-source, and obtaining relevant certifications can improve chances, along with applying through company career portals or internship programs and preparing for technical interviews. Having a solid understanding of version control systems like Git and good problem-solving skills are also beneficial.

What are the most commonly searched types of Full Stack Software Developer jobs in Pennsylvania?

The most popular types of Full Stack Software Developer jobs in Pennsylvania are:

What job categories do people searching Internship Full Stack Software Developer jobs in Pennsylvania look for?

The top searched job categories for Internship Full Stack Software Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Internship Full Stack Software Developer jobs?

Cities in Pennsylvania with the most Internship Full Stack Software Developer job openings:

Infographic showing various Internship Full Stack Software Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $123,558 per year, or $59.4 per hour.

Software Engineer II - Full-stack Developer with Anthropic Experience

Pittsburgh, PA • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Software Engineer II with Anthropic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Consultant, Software Engineer II, on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Design, build, test, and maintain scalable full-stack features across front-end and back-end systems.
  • Develop and support microservices, application programming interfaces, continuous integration/continuous deployment pipelines, containerized workloads, and infrastructure as code.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 4+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 3+ years of experience designing, developing and delivering AI/ML solutions
  • At least 6 months of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integration
  • At least 6 months of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 6 months of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 3+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 2+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $188,400.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Software Engineer II with Anthropic AI Experience, AI & Engineering/Engineering as a Service

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 11/1/2026.

Work you'll do

As a Consultant, Software Engineer II, on the Engineering as a Service team, you will be responsible for designing, building, and delivering full-stack software and AI-enabled solutions for client engagements.

  • Design, build, test, and maintain scalable full-stack features across front-end and back-end systems.
  • Develop and support microservices, application programming interfaces, continuous integration/continuous deployment pipelines, containerized workloads, and infrastructure as code.
  • Integrate large language model platforms and generative artificial intelligence application programming interfaces, including Anthropic Claude, to deliver context-aware features, retrieval-augmented generation pipelines, tool-calling workflows, and automation solutions.
  • Collaborate with product managers, designers, and engineers to translate requirements into technical solutions, estimate work, and contribute to code reviews.
  • Troubleshoot defects, improve application performance, write automated tests, and support production readiness activities, including incident response and on-call rotations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required:

  • 4+ years of professional software engineering experience with a focus on full-stack development, including 3+ years of full system lifecycle development from requirements through production deployment.
  • 3+ years of experience designing, developing and delivering AI/ML solutions
  • At least 6 months of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integration
  • At least 6 months of hands-on experience developing and deploying production solutions using Anthropic Claude models
  • At least 6 months of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions
  • 3+ years of hands-on full-stack development experience using at least one back-end language such as Python, Java, .NET, Go, or Node.js and at least one modern front-end framework such as React, Angular, or Vue.js.
  • 2+ years of experience in a client-facing development role, including 2+ years building and consuming Representational State Transfer (REST) and/or GraphQL application programming interfaces.
  • Experience with at least one major cloud platform, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and one year of hands-on experience integrating Anthropic Claude application programming interfaces into software applications in a commercial setting.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Docker and Kubernetes.
  • Experience with continuous integration/continuous deployment pipelines and DevOps practices.
  • Experience working in an Agile/Scrum environment using tools such as Jira or Linear.
  • Contributions to open-source projects or a portfolio demonstrating software development work.
  • Industry-recognized cloud certifications such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Professional Developer.
  • Experience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work cases
  • Hands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API

The wage rang...


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