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IBM WatsonX Conversational AI Orchestrate Full Stack Developer - W2

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Saransh Inc
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: IBM WatsonX - (Conversational AI) Orchestrate Full Stack Developer - Only W2

Role

IBM Watson

X - (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 Watson

    X Orchestrate Full Stack Developer Onshore need.
  • Client is seeking a Conversational AI Engineer specializing in IBM Watson

    X 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.
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