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Ai Full Stack Developer Jobs in Connecticut (NOW HIRING)

Assa Abloy

Full Stack Developer, MarTech

New Haven, CT · On-site

As a Full Stack Developer , you will take ownership of our internal design system - a versioned suite of React components, Tailwind configurations, and headless primitives published as NPM packages ...

PetVet Care Centers

Full Stack Developer

Westport, CT

$85K - $95K/yr

Position Overview The Full Stack Developer is an entry-level position responsible for supporting the development, maintenance, and continuous improvement of internal enterprise applications. Working ...

ASSA ABLOY

Full Stack Developer, MarTech

New Haven, CT · Hybrid

As a Full Stack Developer , you will take ownership of our internal design system - a versioned suite of React components, Tailwind configurations, and headless primitives published as NPM packages ...

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 ...

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 ...

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All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in Connecticut

Ai Full Stack Developer information

See Connecticut salary details

$22

$56

$81

How much do ai full stack developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai full stack developer in Connecticut is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.95 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

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Ai Full Stack Developer jobs near you

IBM WatsonX - (Conversational AI) Orchestrate Full Stack Developer - Only W2

Saransh Inc

Hartford, CT • On-site

Contractor

Re-posted 6 days ago

Job description

Role: IBM WatsonX - (Conversational AI) Orchestrate Full Stack Developer
Location: Hartford, CT (Onsite from Day 1)
Job Type: W2 Contract
 
Experience Required: 10 to 14 years

Job Summary:
  • IBM WatsonX Orchestrate Full Stack Developer OnShore need.
  • Client is seeking a Conversational AI Engineer specializing in IBM WatsonX Orchestrate AI technologies.
  • 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
Responsibilities:
  • In this role, you will architect, implement, and optimize rich conversational flows using IBMs Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses.
  • You Will collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions.
  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems.
  • Applying clean coding skills and best practices.
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents.
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot.
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat).
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications.
  • Integrate chatbot solutions with multiple platforms.
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies.
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities.
  • Tuning and enhancing Speech to Text models.