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Python Flask Internship Jobs in Connecticut (NOW HIRING)

This internship is ideal for students or recent graduates with a strong computer science background ... Write clean, efficient, and well-documented code in Python or another modern programming language.

Python Flask Internship information

What are the key skills and qualifications needed to thrive as a Python Flask Intern, and why are they important?

To thrive as a Python Flask Intern, you need a strong understanding of Python programming, web development fundamentals, and familiarity with the Flask framework, typically demonstrated through coursework or personal projects. Experience with version control systems like Git, basic knowledge of databases (such as SQLite or PostgreSQL), and awareness of RESTful API development are often required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate with team members and adapt in a fast-paced environment. These skills are essential for contributing to real-world projects, gaining practical experience, and building a foundation for a successful software development career.

What types of projects can I expect to work on during a Python Flask internship?

During a Python Flask internship, you will typically work on web-based projects such as building RESTful APIs, developing backend functionality for web applications, and integrating third-party services. Interns often collaborate with experienced developers, participate in code reviews, and contribute to both new and existing projects. You may also gain exposure to database management, deployment processes, and using tools like Git for version control. This hands-on experience is designed to strengthen your programming skills and introduce you to industry best practices.

What is a Python Flask internship?

A Python Flask internship is a temporary position designed to give students or aspiring developers hands-on experience working with the Flask web framework in Python. Interns typically assist with building, testing, and maintaining web applications using Flask, learning about backend development, REST APIs, and software best practices. This internship helps individuals gain practical skills in Python programming, web frameworks, and collaborative development environments. It is ideal for those looking to start a career in web development or backend engineering.

What is the difference between Python Flask Internship vs Python Developer?

AspectPython Flask InternshipPython Developer
Required CredentialsBasic programming knowledge, coursework, or certifications in PythonAdvanced Python skills, relevant certifications, and experience
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time roles, project ownership, team collaboration
Employer & Industry UsageStartups, tech companies, educational programsTech firms, software companies, enterprise solutions
Search & Comparison IntentLearning, entry-level opportunities, internshipsCareer advancement, full-time employment, skill development

The main difference between a Python Flask Internship and a Python Developer role lies in experience level and responsibilities. Internships focus on learning, gaining practical experience, and mentorship, while Python Developer positions require advanced skills, project ownership, and full-time commitment. Internships are ideal for beginners, whereas Python Developers are experienced professionals contributing to complex projects.

What are popular job titles related to Python Flask Internship jobs in Connecticut? For Python Flask Internship jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Python Flask Internship jobs? Cities in Connecticut with the most Python Flask Internship job openings:
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

Posted 6 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