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Internship Entry Level Java Developer Jobs in San Jose, CA

Assoc SW Engineer - Java, Spring Boot, AWS

San Jose, CA · Remote

$59.25 - $81.25/hr

Job-Specific Minimum Requirements: - Entry level position within field. Requires Bachelor's degree ... Java or other OO programming language - Novice - Javascript - Novice - JSP / JSF - Novice - Eclipse ...

New

This internship offers hands-on exposure to modern retail platforms, cloud-native systems, and data ... Develop and enhance microservices-based applications using Java and Python * Build and deploy ...

This internship offers hands-on exposure to modern retail platforms, cloud-native systems, and data ... Develop and enhance microservices-based applications using Java and Python * Build and deploy ...

... internships and academic projects). • Strong programming skills in at least one language such as Java, Python, or Scala. • Interest in distributed systems, cloud infrastructure, or large-scale ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... programming language, such as Python, Swift, Objective C or Java * Experience with ML libraries ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... programming language, such as Python, Swift, Objective C or Java * Experience with ML libraries ...

... internships possible!). We are particularly interested in candidates with experience in AI ... Innovate and introduce new technologies to enhance our developer platform. What We're Looking For:

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Internship Entry Level Java Developer information

See San Jose, CA salary details

$58K

$115.8K

$235K

How much do internship entry level java developer jobs pay per year?

As of May 29, 2026, the average yearly pay for internship entry level java developer in San Jose, CA is $115,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $120,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Entry Level Java Developer, and why are they important?

To thrive as an Internship Entry Level Java Developer, you need a solid understanding of Java programming, object-oriented principles, and basic software development concepts—often supported by coursework or academic projects. Familiarity with development tools like Eclipse or IntelliJ IDEA, version control systems such as Git, and basic knowledge of databases is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with team members and learn quickly on the job. These skills and qualities ensure you can contribute to coding tasks, adapt to new technologies, and grow as a valuable team member in a fast-paced development environment.

What are some typical projects or tasks an Internship Entry Level Java Developer might work on during their internship?

As an Internship Entry Level Java Developer, you can expect to work on a variety of hands-on tasks such as debugging existing Java code, assisting with unit testing, and contributing to the development of new application features under the guidance of senior developers. Interns often participate in code reviews, write documentation, and may be assigned small modules or enhancements to implement. Collaboration is key, so you'll likely work closely with team members from QA, UI/UX, and project management to understand requirements and deliver solutions. These experiences are designed to build your technical skills and expose you to the software development life cycle in a professional setting.

What are Internship Entry Level Java Developers?

Internship Entry Level Java Developers are individuals, often students or recent graduates, who are beginning their careers by working in temporary or training positions focused on Java development. They are typically responsible for assisting with coding, debugging, testing, and maintaining Java applications under the supervision of experienced developers. These internships provide practical experience, help interns develop technical skills in Java, and give them exposure to real-world software development processes. The goal is to prepare them for full-time developer roles in the future.

What is the difference between Internship Entry Level Java Developer vs Junior Java Developer?

AspectInternship Entry Level Java DeveloperJunior Java Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's degree in Computer Science or related field, with some practical experience
Work EnvironmentInternship programs, often part-time or temporary, supervised by senior staffFull-time employment in a development team, with more responsibilities
Employer & Industry UsageUsed by companies to train new talent; common in tech and software firmsEntry-level position in software development teams across various industries

The main difference is that an Internship Entry Level Java Developer is a temporary, training-focused role for students or recent graduates, while a Junior Java Developer is a full-time position requiring some practical experience, with greater responsibilities in software projects.

What cities near San Jose, CA are hiring for Internship Entry Level Java Developer jobs? Cities near San Jose, CA with the most Internship Entry Level Java Developer job openings:
Infographic showing various Internship Entry Level Java Developer job openings in San Jose, CA as of May 2026, with employment types broken down into 9% As Needed, 67% Full Time, 15% Part Time, and 9% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $115,782 per year, or $55.7 per hour.

Agentic AI Engineer - Internship - San Jose, CA - Onsite

Nile Global Inc

San Jose, CA • On-site

Full-time

Posted 15 days ago


Job description

Agentic AI Engineer - Internship (3-6 months)
Location: San Jose, CA
Department: Product Management
Company Overview:
Nile is reimagining access networking by delivering it as a service - simplifying operations and raising the bar on network security and reliability. We offer a full-stack, cloud-managed solution that spans wired switching, secure access, and policy-driven automation.
The Role:
This role focuses on designing, building, and scaling production-grade agentic AI systems, including multi-step reasoning workflows, tool-integrated agents, and RAG-enabled architectures, while ensuring reliability, performance, and safety. It requires end-to-end ownership of agent systems-from architecture and orchestration to monitoring, evaluation, and failure handling-along with close collaboration on APIs, memory design, and developer tooling. The ideal candidate is a strong software engineer with experience in distributed systems and hands-on deployment of agent-based AI in real-world environments, with deep understanding of LLM behavior, system trade-offs, and production constraints.
Responsibilities:
  • Design and Ship Agentic AI Systems: Build and deploy production-grade agents with multi-step reasoning, tool usage, and stateful workflows aligned to real-world use cases such as productivity improvement, business intelligence, etc..

  • Implement Agent Workflows End-to-End: Implement full agent lifecycle and orchestration, including RAG integration, ensuring reliability, observability, and performance in production.

  • Operationalize Reliability, Evaluation, and Safety: Develop observability, evaluation, and guardrail systems to improve agent quality, robustness, latency, and cost efficiency.

  • Deep Technical Collaboration: Partner with engineering on agent architecture, memory systems, and developer-facing APIs/SDKs.

Qualifications:
  • Core Engineering Background: 1-3 years building distributed/cloud systems with strong coding skills (Python, Go, Java, or C++).

  • Agentic AI Implementation: Hands-on experience designing and deploying production agent systems with orchestration, tool integration, and RAG capabilities.

  • Technical Depth: Deep understanding of LLM behavior, memory architectures, retrieval systems, and system design trade-offs.

  • Excellent Communication Skills: Effective collaboration across global teams with strong technical communication and clarity in system design.