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Ai Full Stack Developer Jobs in Connecticut (NOW HIRING)

Valitana LLC

Junior Full Stack Developer

Stamford, CT · On-site

$100K - $120K/yr

Position Overview Valitana is seeking a Full Stack Developer with a UI/front-end focus to help build and scale Vantage, our multi-asset trade and portfolio management platform used by institutional ...

Valitana LLC

Junior Full Stack Developer

Stamford, CT · On-site

$100K - $120K/yr

Position Overview Valitana is seeking a Full Stack Developer with a UI/front-end focus to help build and scale Vantage, our multi-asset trade and portfolio management platform used by institutional ...

Infosys Limited Digital

Java Full Stack Developer

Hartford, CT · On-site

$53 - $68.25/hr

... Full stack|Java Full stack Technical Skills 2 Technology|Cloud Platform|AWS App Development ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

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 ...

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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 Jul 27, 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.

What are popular job titles related to Ai Full Stack Developer jobs in Connecticut? For Ai Full Stack Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Ai Full Stack Developer jobs in Connecticut look for? The top searched job categories for Ai Full Stack Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Ai Full Stack Developer jobs? Cities in Connecticut with the most Ai Full Stack Developer job openings:
Ai Full Stack Developer jobs near you

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

Saransh Inc

Hartford, CT • On-site

Contractor

Posted yesterday

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.