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Full Stack Development Intern Jobs in Connecticut

Leading the design, development, integration, deployment, testing, and troubleshooting of ... The Full Stack Engineer team is a multidisciplinary engineering group that turns these capabilities ...

Full Stack Developer

Westport, CT · On-site

$85K - $95K/yr

Career mobility and development opportunities * A collaborative, inclusive environment where your wellbeing comes first You care for pets. We care for you. Position Overview The Full Stack Developer ...

... full-stack software development - Strong proficiency in TypeScript and modern full-stack development - Strong hands-on Python experience with ability to read and write Python for scripting and ...

Full Stack Java Developer

Hartford, CT · On-site

$110 - $140/hr

... Full stack Technical Skills 2 Technology|Cloud Platform|AWS Core services Technical Skills 3 ... A knack for translating complex requirements into actionable development tasks. * A passion for ...

Software Engineer

Stamford, CT · On-site

$110 - $150/hr

Strong proficiency in TypeScript and modern full-stack development * Strong hands-on Python experience with ability to read and write Python for scripting and automation * Experience working with AWS ...

Skilled at teaching full-stack application development, API design, and deployment workflows. Guides students through building responsive front-end interfaces, creating server-side routes and ...

Showing results 21-40

Full Stack Development Intern information

What is a full stack development intern?

A Full Stack Development Intern is a student or recent graduate who assists with building both the front-end (client side) and back-end (server side) components of web applications. They typically work under the supervision of experienced developers to learn and contribute to projects using various programming languages and frameworks. Responsibilities may include writing code, debugging, testing, and collaborating with design and development teams. This internship provides practical experience in the entire web development process and helps prepare interns for a career as a full stack developer.

What kinds of projects and technologies does a full stack development intern typically work on during their internship?

Full Stack Development Interns often contribute to both front-end and back-end features of web applications, working with frameworks like React or Angular for the user interface and Node.js, Python, or Java for server-side logic. Interns may be assigned tasks such as building new components, fixing bugs, writing APIs, or assisting with database integration. It's common to collaborate closely with designers, senior developers, and QA testers in an agile environment, gaining exposure to the entire software development lifecycle. This hands-on experience helps interns understand how different technologies interact and prepares them for more advanced roles in the future.

What are the key skills and qualifications needed to thrive as a full stack development intern, and why are they important?

To thrive as a Full Stack Development Intern, you need foundational knowledge of front-end and back-end programming languages such as JavaScript, HTML, CSS, and at least one server-side framework, alongside a relevant academic background in computer science or a related field. Familiarity with version control systems like Git, databases (SQL/NoSQL), and cloud platforms is often expected, and experience with tools like React, Node.js, or Docker can be advantageous. Strong problem-solving skills, adaptability, and effective communication help interns collaborate within teams and learn quickly in dynamic environments. These skills and qualifications are crucial for efficiently contributing to diverse development tasks and succeeding in fast-paced tech teams.

What are popular job titles related to Full Stack Development Intern jobs in Connecticut?

For Full Stack Development Intern jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Full Stack Development Intern jobs in Connecticut look for?

The top searched job categories for Full Stack Development Intern jobs in Connecticut are:

What cities in Connecticut are hiring for Full Stack Development Intern jobs?

Cities in Connecticut with the most Full Stack Development Intern job openings:

Infographic showing various Full Stack Development Intern job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

AI Native Full Stack Engineer

3B Staffing LLC

Hartford, CT • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

AI Native Full Stack Engineer

REMOTE

CVS

LOCATION: REMOTE

**PLEASE MAKE SURE LINKED IN AND PHOTOS MATCH**

**PLEASE MAKE SURE TO READ THE BELOW IN DETAIL AND PROVIDE THE CORRECT PROFILES**

**THIS MANAGER IS EXTREMELY TOUGH AND PICKY - NEED EXCEPTIONAL COMMUNICATION SKILLS. NO USE OF AI, NEED LEGIT CANDIDATES HERE**

FEEDBACK FROM 1st BATCH:

The profiles you shared are amazing, but as things are evolving a bit here, we need to do some minor course corrections on the nature of profiles we are looking for. Our goal here is to build AI native Applications which will be used in Automation scenarios. Most of these profiles are more suitable for data analytics / data engineering / core ML model refinements etc..

We are looking for four types of engineers which I'd call class I through IV

I: Full stack web development professional who has depth of experience in building Angular Frontend with Python (Fast API) based backends. This engineer should have some experience with ML frameworks, using webservices from OpenAI, Google Vertex AI etc.. and deployment knowledge to get his / her application to GCP.

II: Full stack web development professional who has depth of experience in building Angular Frontend with Java (Springboot) based backends. This engineer may or may not have experience with ML frameworks, using webservices from OpenAI, Google Vertex AI etc.. but has to for sure have deployment knowledge to get his / her application to GCP.

JOB DESCRIPTION:

You will be responsible for designing, developing, and deploying robust and scalable AI Native Applications that leverage artificial intelligence (AI) and machine learning (ML) services and tools. You bring expertise in full-stack web application development using programing languages like Python and JavaScript frameworks such as Angular C React. You have demonstrated experience of fundamentals of machine learning principles, natural language processing (NLP) and principles of Generative AI. You must have experience on Google Cloud Platform (GCP) through the entire application life cycle management through development, deployment, telemetry, logging etc.,

Responsibilities:

  • Design, develop, and maintain AI Native web applications and/or web services to deliver innovative features and functionalities. Eg: Retrival Augmented Generation
  • Utilize Google Cloud Platform (GCP) services (e.g., AI Platform, Vertex AI, BigQuery, Cloud Storage) to build, train, and deploy AI Native Applications.
  • Implement and integrate AI/ML models and ML Services into existing applications and systems using Python and JavaScript.
  • Collaborate with data scientists, product managers, and other engineering teams to translate business requirements into technical solutions.
  • Finetune models on GCP for use case specific needs.
  • Conduct model evaluation, testing, and deployment, ensuring high-quality and reliable AI solutions.
  • Stay updated with the latest advancements in AI, machine learning, and cloud technologies.
  • Working knowledge of Agile Scrum methodologies including document technical designs, processes, and model specifications.
  • Leverage LangChain, LangGraph, ADK, and other agent orchestration frameworks.
  • Implement prompt engineering, chain-of-thought workflows, and retrieval- augmented generation (RAG) pipelines.
  • Develop modular, scalable architectures for AI-powered web apps and APIs.
  • Integrate LLMs with enterprise systems, databases, and external services.
  • Implement vector databases for semantic search.
  • Build connectors for structured/unstructured data ingestion.
  • Work closely with automation teams, architects, and product owners to deliver end-to-end AI solutions.
  • Document workflows and best practices for AI integration.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience as an AI Engineer, ML Engineer, or similar role.
  • Strong proficiency in Python (mandatory) and familiarity with

JavaScript/TypeScript.

  • Hands-on experience with LangChain, ADK, and orchestration frameworks.
  • Experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) and prompt engineering.
  • Proficiency in GCP services and SDKs; experience with Azure or AWS is a plus.
  • Strong knowledge of FastAPI/Django, Angular/React, and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS).
  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Good understanding of ML algorithms, deep learning, and statistical analysis.
  • Ability to work independently and collaboratively in Agile environments.
  • Excellent communication and interpersonal skills.