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Java Programmer Internship Jobs in Connecticut (NOW HIRING)

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Java Programmer Internship information

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How much do java programmer internship jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for java programmer internship in Connecticut is $52.49, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $59.66 per hour, depending on experience, location, and employer.

What is a Java Programmer Internship job?

A Java Programmer Internship is a temporary position designed for students or entry-level developers to gain hands-on experience in Java programming. Interns typically work on real-world projects, assisting in coding, debugging, testing, and maintaining Java applications. They collaborate with senior developers, learn industry best practices, and enhance their technical skills. This internship helps build a strong foundation for a career in software development by providing practical exposure to Java frameworks, tools, and development environments.

What are the key skills and qualifications needed to thrive in the Java Programmer Internship position, and why are they important?

To thrive as a Java Programmer Intern, you should have a solid understanding of Java programming fundamentals, object-oriented design, and basic data structures, usually supported by coursework or academic projects. Familiarity with development tools such as Eclipse or IntelliJ IDEA, source control systems like Git, and basic knowledge of SQL or web technologies is often expected. Strong problem-solving skills, eagerness to learn, attention to detail, and effective communication will help you stand out in a collaborative environment. These abilities ensure you can contribute to real-world coding tasks, adapt quickly to new challenges, and integrate smoothly within a team.

What kinds of projects or tasks do Java Programmer Interns typically work on?

As a Java Programmer Intern, you can expect to work on a variety of tasks such as writing and testing code, fixing bugs, assisting with feature development, and supporting larger software projects under the guidance of experienced developers. Interns often participate in code reviews and team meetings to understand workflow and best practices. You'll likely have opportunities to collaborate with team members in both individual and group assignments, allowing you to apply your academic knowledge to practical scenarios. This hands-on experience is designed to help you build your programming skills and gain insight into professional software development processes.

What are the most commonly searched types of Java Programmer jobs in Connecticut? The most popular types of Java Programmer jobs in Connecticut are:
What are popular job titles related to Java Programmer Internship jobs in Connecticut? For Java Programmer Internship jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Java Programmer Internship jobs in Connecticut look for? The top searched job categories for Java Programmer Internship jobs in Connecticut are:
Agentic AI Developer Intern (Stamford)

Agentic AI Developer Intern (Stamford)

JobTarget LLC

Stamford, CT • On-site, Remote

$27 - $30/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together. 

The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.

Responsibilities

  • Develop and maintain AI-powered software features, prototypes, and internal tools.

  • Write clean, efficient, and well-documented code in Python or another modern programming language.

  • Integrate large language models and AI APIs into applications, workflows, or backend services.

  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.

  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.

  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.

  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.

  • Participate in code reviews, unit testing, documentation, and deployment activities.

  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.

  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.

  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.

  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.

  • Experience building software projects, APIs, applications, automation scripts, or backend services.

  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.

  • Strong analytical and problem-solving skills.

  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications

  • Experience with generative AI tools, LLM APIs, or AI application frameworks.

  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks

  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns

  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector

  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation

  • FastAPI, Flask, Node.js, React, or similar application frameworks

  • Docker, CI/CD, cloud platforms, or basic DevOps workflows

  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.

  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You’ll Learn

  • How to build real-world generative AI applications and AI-powered developer tools.

  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.

  • How to design AI agent workflows using tools such as LangGraph and related frameworks.

  • Best practices for writing production-quality code for AI applications.

  • How to test and improve AI system reliability, accuracy, and performance.

  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.

  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer. 


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