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Full Stack Engineer Intern Jobs in Connecticut (NOW HIRING)

Spark Tek Inc

.Net Full stack developer

Stamford, CT · On-site

Net Full Stack Developer for a contract position. The role requires strong backend development skills in .NET Core and practical experience with ReactJS, along with familiarity in SQL querying and ...

Digital United

Senior Full Stack Drupal Developer

Farmington, CT · On-site +1

$100K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior Engineer will collaborate closely with solution architects, product leaders, and clients ... Drupal & Full Stack Development * Design, develop, and maintain robust Drupal back-end solutions ...

Infosys Limited Digital

Java Full Stack Developer

Hartford, CT · On-site

$53 - $68.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Full stack Technical Skills 2 Technology|Cloud Platform|AWS App Development Technical Skills 3 Technology|Reactive Programming|react JS Technical Skills 4 Technology|Data Management - DB|MySQL ...

Mirafra Technology

Full Stack Developer

Greenwich, CT · On-site

... Computer Science, Engineering or Mathematics Minimum of 3 years of experience in Java technologies (Java Servlets and JSP) Strong knowledge of SQL, Database design, PL/SQL, Object-Oriented ...

Damco Solutions

Salesforce Full Stack Developer

Hartford, CT · On-site

$56 - $74.25/hr

Damco Solutions is seeking a Senior Salesforce Full Stack Developer to join their team in Hartford, Connecticut. The role involves participating in various SDLC processes and supporting existing ...

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Infosys Limited Digital

.Net Full Stack Developer

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Net Full stack Technical Skills 2 Technology|Cloud Platform|AWS App Development Technical Skills 3 ... Cloud DevOps and setting up and testing HA/ DR/ Infra on Cloud. • Experience in Splunk ...

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

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Showing results 21-40

All JobsFull Stack Engineer Intern JobsFull Stack Engineer Intern Jobs in Connecticut

Full Stack Engineer Intern information

See Connecticut salary details

$13

$26

$38

How much do full stack engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for full stack engineer intern in Connecticut is $26.17, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $29.28 per hour, depending on experience, location, and employer.

What types of projects and technologies can I expect to work with as a full stack engineer intern?

As a Full Stack Engineer Intern, you can expect to work on a variety of projects ranging from building user interfaces with front-end frameworks like React or Angular to developing backend services using technologies such as Node.js, Python, or Java. Interns often assist with integrating APIs, database management, and testing features in both development and production environments. You'll likely collaborate closely with designers, product managers, and other developers, gaining exposure to the complete software development lifecycle. This hands-on experience is designed to help you build practical skills and contribute meaningful code to real applications.

What is a full stack engineer intern?

Full Stack Engineer Interns are students or recent graduates who assist in developing both the front-end and back-end components of web applications. They work under the guidance of experienced engineers to gain hands-on experience with programming languages, frameworks, and tools used throughout the software development lifecycle. Their responsibilities often include writing code, testing applications, fixing bugs, and collaborating with teams to deliver functional software. Through this internship, they develop practical skills and a deeper understanding of how web systems work end-to-end.

What is the difference between Full Stack Engineer Intern vs Software Developer Intern?

AspectFull Stack Engineer InternSoftware Developer Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldTypically pursuing or recently completed a degree in Computer Science or related field
Work EnvironmentHands-on experience with both front-end and back-end development in a team settingFocus on coding, debugging, and developing software applications, often in a specific area
Employer & Industry UsageTech companies, startups, and organizations seeking versatile interns with full-stack skills

The Full Stack Engineer Intern role involves working across both front-end and back-end technologies, providing a broad development experience. In contrast, a Software Developer Intern may focus more narrowly on specific software components or applications. Both roles are valuable for gaining industry experience, but the Full Stack Engineer Intern position offers a more comprehensive view of the entire development process.

What are the key skills and qualifications needed to thrive as a full stack engineer intern?

To thrive as a Full Stack Engineer Intern, you need a solid understanding of programming languages like JavaScript, HTML, CSS, and at least one backend language, often supported by coursework or relevant project experience. Familiarity with frameworks such as React or Angular, backend systems like Node.js or Django, version control (Git), and basic database management is typically expected. Strong problem-solving skills, eagerness to learn, and effective communication help interns stand out in fast-paced development teams. These skills and qualities are essential for contributing to real-world projects, collaborating effectively, and accelerating professional growth in a technical environment.
What are the most commonly searched types of Full Stack Engineer jobs in Connecticut? The most popular types of Full Stack Engineer jobs in Connecticut are:
What are popular job titles related to Full Stack Engineer Intern jobs in Connecticut? For Full Stack Engineer Intern jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Full Stack Engineer Intern jobs in Connecticut look for? The top searched job categories for Full Stack Engineer Intern jobs in Connecticut are:
What cities in Connecticut are hiring for Full Stack Engineer Intern jobs? Cities in Connecticut with the most Full Stack Engineer Intern job openings:
Full Stack Engineer Intern jobs near you
Infographic showing various Full Stack Engineer Intern job openings in Connecticut as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,430 per year, or $26.2 per hour.

Google AI Full Stack Developer

3B Staffing LLC

Hartford, CT • On-site

Full-time

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

Job description

Google AI Full Stack Developer CVS Hartford, CT **MUST BE LOCAL TO THE AREA - ONSITE INTERVIEW WILL BE REQUIRED FOR 2nd ROUND. I do not want any surprises when asking the candidate to come onsite for an interview that they are travelling OR not in CT this week, etc.** Hybrid USC or GC ONLY This team is REALLY tough. ROCKSTARS ONLY HERE WITH EXCEPTIONAL COMMUNICATION SKILLS, good camera connection for the interviews, Linked In with Photos and matching the the resume, ID's, copies of a bill to show they are local, etc We are seeking to fill Google AI Full Stack Developer roles - 2 local to Hartford, CT Start Date: As soon as possible Duration of the engagement: 6+ months Number of Roles: 2 local to Hartford, CT Position Summary The Aetna IT Delivery organization, part of CVS Health's Data, Digital, Analytics, Technology (DDAT) division, is seeking a Conversational AI Engineer specializing in Google Conversational AI technologies and Retrieval Augmented Generation (RAG). You will drive the end-to-end user experience for a next-generation Conversational AI platform designed to support members and providers by accessing timely, accurate health insurance answers across digital channels. In this role, you will architect, implement, and optimize rich conversational flows using Google's Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses. You'll collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions. Key Responsibilities
  • Design and Develop Advanced Google AI Conversations Build and maintain dialog flows using Google Dialogflow CX, Google Vertex AI, or similar Google conversational platforms, with strong focus on contextual intent fulfillment.
  • Implement Retrieval Augmented Generation (RAG) Integrate external knowledge bases and enterprise APIs with AI models to enable dynamic, contextually relevant, and reference-backed answers using RAG approaches.
  • Apply Best Practices in Conversational AI Employ robust coding standards, NLP best practices, and reusable design patterns to ensure consistent and scalable solutions.
  • Collaborate Across Functions Work closely with UI/UX designers, backend teams, and data engineers to define and implement APIs, data retrieval pipelines, and conversational triggers.
  • End-to-End Chatbot Lifecycle Lead the design, development, testing, deployment, and ongoing maintenance of conversational agents, optimizing for user engagement and satisfaction.
  • Integrate with Multiple Platforms Ensure seamless interactions across digital channels (web, mobile, voice), integrating with Google Cloud and enterprise APIs as required.
  • Enhance Conversational Intelligence Use Google's advanced NLP, speech-to-text, and machine learning capabilities, and Large Language Models (LLMs) to refine accuracy, dialog flow, and natural language understanding.
  • Continuous Learning and Innovation Stay abreast of emerging generative AI, conversational technologies, and industry best practices, supporting business development through technology-driven innovation.
  • Speech Technologies Tune and enhance speech recognition and TTS models leveraging Google Cloud Speech-to-Text and related technologies, including advanced tagging (e.g., SSML).
Required Qualifications
  • 3+ years software engineering experience delivering AI-enabled applications
  • 2+ years hands-on chatbot development with Google Dialogflow CX, Vertex AI, or equivalent platforms (such as Amazon Lex, LivePerson, Kore.ai, IBM Watson)
  • 2+ years applying NLP and training data best practices in production conversational AI settings
  • 2+ years of experience with enterprise-scale AI/chatbot frameworks, including integration with backend data and API services
  • 1+ years of experience with retrieval-augmented generation techniques (RAG) or integrating external knowledge sources into LLM-driven chatbots
  • 1+ years of experience in CICD, Git, unit testing, and source code management workflows
  • 1+ years familiarity with cloud development/deployment principles, ideally Google Cloud Platform (GCP)
  • 1+ years working in Agile environments, with practical knowledge of DevOps principles and end-to-end software lifecycle
Preferred Qualifications
  • Backend (server-side) development experience in Java, Node.js, or Python
  • Multi-language proficiency, with experience in Javascript/Typescript
  • Prior work with Google Cloud Speech-to-Text, Vertex AI Search, or similar voice and information retrieval technologies
  • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
  • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents
Education Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience required.

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