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Backend Developer Internship Jobs in Connecticut

This internship is ideal for students or recent graduates with a strong computer science background ... Integrate large language models and AI APIs into applications, workflows, or backend services ...

Tool/MCP calls and backend integrations (e.g., Salesforce and internal enterprise applications ... Azure DevOps AI System Debugging & Improvement * Identify whether issues stem from prompting ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Developing APIs and backend systems * Working with large and complex datasets * Enhancing cloud ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Developing APIs and backend systems * Working with large and complex datasets * Enhancing cloud ...

Backend Developer Internship information

See Connecticut salary details

$11

$54

$80

How much do backend developer internship jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for backend developer internship in Connecticut is $54.92, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $64.95 per hour, depending on experience, location, and employer.

What is a Backend Developer Internship job?

A Backend Developer Internship is a temporary, hands-on learning opportunity for students or entry-level developers to gain experience in backend development. Interns typically work with databases, APIs, and server-side logic using languages like Python, Java, or Node.js. They collaborate with senior developers to build, optimize, and maintain backend systems. This internship helps develop technical skills, problem-solving abilities, and an understanding of industry best practices.

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

To thrive as a Backend Developer Intern, you need a foundational understanding of server-side programming languages (such as Python, Java, or Node.js), databases, and algorithms, often supported by coursework in computer science or a related field. Experience with version control systems like Git and familiarity with API development and frameworks are common technical requirements. Strong problem-solving abilities, effective communication, and a willingness to learn help interns integrate smoothly within development teams. These skills are crucial for building reliable backend services, collaborating with peers, and adapting quickly to new technologies and workplace expectations.

What kinds of projects and tasks do Backend Developer Interns typically work on during their internship?

Backend Developer Interns often collaborate with experienced engineers to help design, develop, and maintain server-side logic, databases, and APIs. Common tasks include writing code for backend services, participating in code reviews, testing and debugging features, and assisting with database queries or schema updates. Interns may also be involved in integrating third-party services, automating system processes, and learning about best practices in software development. This hands-on experience helps interns build practical skills and gain insight into how production systems operate, preparing them for more advanced developer roles in the future.

What are the most commonly searched types of Backend Developer jobs in Connecticut? The most popular types of Backend Developer jobs in Connecticut are:
What are popular job titles related to Backend Developer Internship jobs in Connecticut? For Backend Developer Internship jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Backend Developer Internship jobs in Connecticut look for? The top searched job categories for Backend Developer Internship jobs in Connecticut are:
What cities in Connecticut are hiring for Backend Developer Internship jobs? Cities in Connecticut with the most Backend Developer Internship job openings:
Infographic showing various Backend Developer Internship job openings in Connecticut as of June 2026, with employment types broken down into 84% Full Time, 8% Part Time, 3% Temporary, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $114,236 per year, or $54.9 per hour.
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

Posted 18 days ago


Job description

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.
Job Requirements