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Chatbot Developer Jobs in Connecticut (NOW HIRING)

3B Staffing LLC

Prompt AI Chatbot Engineer

Hartford, CT · On-site

Prompt AI Chatbot Engineer CVS Onsite role in Hartford, CT **MUST BE LOCAL** USC, GC or GC EAD ONLY **PLEASE ENSURE TO PROVIDE ID WITH SUBMISSION ALONG WITH LINKED IN PROFILE. LINKED IN MUST BE UP TO ...

3B Staffing LLC

Conversational AI Engineer

Hartford, CT · On-site

$75 - $78/hr

Greetings ~ We are seeking 1 Conversational AI Chatbot Developer for YAVA in Hartford, CT. Position Summary The Aetna IT Delivery organization, within CVS Health's Data, Digital, Analytics ...

Inficare

Salesforce Developer

Hartford, CT · Remote

$56 - $74.25/hr

Salesforce Developer Location: Hartford, CT (Remote) * Salesforce Platform Developer I (PD1 ... Familiarity with IVR technologies such as Avaya, Cisco, or chatbot platforms * Experience with ...

New

Inficare Technologies

Salesforce Developer

Hartford, CT · On-site

$56 - $74.25/hr

Salesforce Developer Location: Hartford, CT (Remote) * Salesforce Platform Developer I (PD1 ... Familiarity with IVR technologies such as Avaya, Cisco, or chatbot platforms * Experience with ...

Diverse Lynx

Salesforce Developer

Hartford, CT · On-site

$56 - $74.25/hr

Title: Salesforce Developer Location: Hartford, CT (Day 1 Onsite) Type- Contract * Required ... Preferred experience IVR Technologies like AYAYA, CISCO, Chatbot etc. Diverse Lynx LLC is an Equal ...

ICONMA

Senior Salesforce Developer

Hartford, CT · On-site

$126.60K - $154.80K/yr

Required Salesforce Platform Developer 1 (PD1) Certification * Preferred Agentforce Specialist ... Preferred experience IVR Technologies like AYAYA, CISCO, Chatbot etc. Why Should You Apply?

Trident Consulting

Senior Salesforce Developer

Hartford, CT · On-site

$126.60K - $154.80K/yr

Preferred experience IVR Technologies like AYAYA, CISCO, Chatbot etc. About Trident Consulting ... data, engineering, and enterprise technology. We have been in business since 2005 and focus on ...

ICS Global Soft INC

Salesforce Tech Lead

Hartford, CT

$56 - $74.25/hr

... Developer Console) · SalesForce widget integration patterns with 3rd party services · General Security practices · prior experience in Voice & Chatbot technology (AWS, Java,SOLR fusion etc.) · ...

ICS Global Soft INC

Salesforce OSV Developers

Hartford, CT · On-site

$56 - $74.25/hr

... Developer Console) · SalesForce widget integration patterns with 3rd party services · General Security practices · prior experience in Voice & Chatbot technology (AWS, Java,SOLR fusion etc.) · ...

Gartner

Sr. Data Scientist

Stamford, CT

Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems * Prompt engineering, LLM fine-tuning, and model ...

Gartner

Sr. Data Scientist

Stamford, CT

Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems * Prompt engineering, LLM fine-tuning, and model ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

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$70.9K

$89.2K

$120.3K

How much do chatbot developer jobs pay per year?

As of May 28, 2026, the average yearly pay for chatbot developer in Connecticut is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $90,400.00 per year, depending on experience, location, and employer.

What Does a Chatbot Developer Do?

As a chatbot developer, you create applications that automate customer services or other communication processes. You design programs that use artificial intelligence to communicate with humans via text or audio. You develop chatbot programs so that they can communicate in a variety of scenarios. You test your application and debug it if necessary. Your duties include reviewing and simplifying code when needed. As a chatbot developer, you may also help companies implement bots in their operations. You often work with established AI platforms such as Microsoft Azure Cognitive Services and use a variety of computer languages, including Python, C++, and JavaScript.

What are the key skills and qualifications needed to thrive as a Chatbot Developer, and why are they important?

To thrive as a Chatbot Developer, you need expertise in programming languages like Python or JavaScript, a solid understanding of natural language processing (NLP), and experience with chatbot frameworks such as Dialogflow or Microsoft Bot Framework. Familiarity with cloud platforms, APIs, and version control systems (e.g., Git) is also commonly required, along with certifications in AI or related fields being advantageous. Strong problem-solving skills, creativity, and effective communication help developers design user-friendly and intuitive conversational experiences. These skills ensure the creation of reliable, scalable, and engaging chatbots that effectively address user needs and business goals.

What are some common challenges Chatbot Developers face when integrating chatbots with existing systems?

One common challenge Chatbot Developers encounter is ensuring seamless integration of chatbots with legacy systems and diverse databases, which may have inconsistent data formats or limited APIs. Developers often need to troubleshoot compatibility issues, manage security protocols, and handle real-time data synchronization. Close collaboration with IT teams and clear documentation are essential for successful integration and ongoing maintenance. Overcoming these challenges can lead to more robust and scalable chatbot solutions.

What are Chatbot Developers?

Chatbot Developers are professionals who design, build, and maintain conversational programs, often using artificial intelligence or scripted logic, to interact with users via messaging platforms, websites, or apps. They work with programming languages, natural language processing (NLP), and machine learning frameworks to create chatbots that can answer questions, provide customer support, or automate tasks. Their role involves understanding user needs, integrating chatbots with existing systems, and ensuring a seamless, human-like conversational experience.

What is the difference between Chatbot Developer vs AI Developer?

AspectChatbot DeveloperAI Developer
Required CredentialsProgramming skills, knowledge of chatbot platforms, basic AI understandingAdvanced AI/ML certifications, programming, data science background
Work EnvironmentTech companies, customer service, e-commerce, startupsResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageFocus on conversational interfaces, customer engagementBroader AI applications, including machine learning, NLP, robotics
Search & Comparison IntentUnderstanding chatbot roles, skills, and job scopeExploring broader AI career paths and skills

While both roles involve AI concepts, a Chatbot Developer specializes in creating conversational interfaces for customer engagement, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The roles share overlapping skills but differ in scope and industry focus.

More about Chatbot Developer jobs
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Chatbot Developer jobs near you
Prompt AI Chatbot Engineer

Prompt AI Chatbot Engineer

3B Staffing LLC

Hartford, CT • On-site

Full-time

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

Job description

Prompt AI Chatbot Engineer
CVS
Onsite role in Hartford, CT **MUST BE LOCAL**
USC, GC or GC EAD ONLY
**PLEASE ENSURE TO PROVIDE ID WITH SUBMISSION ALONG WITH LINKED IN PROFILE. LINKED IN MUST BE UP TO DATE AND HAVE PHOTO OF THE CANDIDATE INCLUDING THE CORRECT LOCATION AND MATCH RESUME**
Position Summary
The Aetna IT Delivery organization, part of CVS Health's Data, Digital, Analytics, Technology (DDAT) division, is seeking a skilled and innovative Prompt Engineer to join our AI development team. This role focuses on crafting and optimizing prompts for a conversational AI chatbot that supports healthcare members and providers in accessing accurate, timely information.
Key Responsibilities
  • Develop and iterate on prompt strategies for LLM-based agents
  • Ensure prompts are contextually accurate, domain-specific, and aligned with end user (member or provider) needs.
  • Collaborate with healthcare SMEs, developers, and product teams to build effective conversational flows.
  • Analyze chatbot performance and iterate on prompt strategies using user feedback and analytics.
  • Maintain prompt libraries and documentation for healthcare use cases (e.g., benefits, claims, coverage).
  • Ensure compliance with HIPAA and other healthcare data privacy regulations.
  • Work closely with designers, engineers, and data scientists to align prompt design with conversational flows
  • Conduct A/B testing and usability studies to enhance chatbot interactions.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Linguistics, AI/ML, or related field.
  • 2+ years of experience in working with LLMs, prompt engineering and tuning techniques
  • Experience with IBM Watsonx or Google Dialogflow / Vertex AI.
  • Strong understanding of healthcare terminology and workflows.
  • Proficiency in Python and version control systems (e.g., Git).
  • Excellent communication and analytical skills.
Preferred Qualifications & Programming Languages
  • Experience with agentic AI architectures and multi-agent orchestration.
  • Knowledge of retrieval-augmented generation (RAG) and vector databases.
  • Experience in healthcare provider or payer environments.
  • Familiarity with regulatory frameworks (HIPAA, HITECH).
  • Experience with chatbot analytics and UX testing tools.
  • Python - for scripting, data analysis, and integration with AI platforms.
  • JavaScript/TypeScript - for chatbot front-end and middleware development.
  • Node.js - for backend services and API integration.
  • Java - especially for IBM Watson integrations.
  • Go or Kotlin - for scalable microservices (optional but beneficial).

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