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Senior AI Integration Engineer
Senior AI Integration EngineerOpenkyber • CT, United States
Senior AI Integration Engineer

Senior AI Integration Engineer

Openkyber • CT, United States
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Job Title : IBM Watson Developer

Location : Hartford, CT (Onsite )

Duration : Long-term

Contract Type-#W2

Interview : 2 rounds (face-to-face)

Position Summary

In this role, you will architect, implement, and optimize rich conversational flows using IBM"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

  • 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 fulfil 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.

Required Qualifications

  • 8+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate , or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python
  • 1+ years of multi-language experience in JavaScript / Typescript
  • 1+ years of working in an Agile environment , with knowledge in DevOps approaches, end-to-end software development processes and business requirements

    • Preferred Qualifications :

  • Prior work with IBM Watson Speech-to-Text, Watson Discovery , or similar voice processing 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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