IBM WatsonX Orchestrate Full Stack Developer

Codetech • Hartford, CT

1d

About The Position

Position Summary: Conversational AI Engineer specializing in IBM WatsonX Orchestrate AI technologies. The role drives the end-to-end user experience for a next-generation Conversational AI platform designed to help members and providers access timely, accurate health insurance answers across digital channels. The developer architects, implements, and optimizes conversational flows using IBM’s Conversational AI stack and integrates enterprise data sources to deliver context-aware, trustworthy responses. The role collaborates with product, UI/UX, and backend teams to define requirements, influence features, and deliver scalable, user-centric solutions.

Requirements

• At least 5 years of software delivery experience.
• At least 3 years of chatbot development experience using IBM WatsonX Orchestrate or a similar conversational AI tool, such as Google Dialogflow CX, LivePerson, Amazon Lex, or Kore.ai.
• At least 3 years of experience training and improving intent recognition by curating appropriate training datasets.
• At least 3 years applying Conversational AI best practices, including NLP and training data best practices.
• At least 1 year of experience with CI/CD, Git, unit testing, and source code management.
• At least 1 year of knowledge of cloud development and deployment principles.
• At least 1 year of backend (server-side) development experience in Java, Node.js, or Python.
• At least 1 year of experience with JavaScript/TypeScript.
• At least 1 year working in an Agile environment, with knowledge of DevOps approaches, end-to-end software development processes, and business requirements.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice To Haves

• Prior experience 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, such as document searching using semantic embeddings, with conversational agents.

Responsibilities

• Design and develop AI conversations that obtain responses from external APIs through cloud functions or integrations with other systems.
• Apply clean coding skills and best practices.
• Collaborate with UI designers and backend application integration teams to understand how the conversational AI solution will be used and what is needed to fulfill intents.
• Work with teams and developers to design, develop, test, deploy, and maintain chatbots.
• Troubleshoot and debug bots, and deploy chatbots on voice and chat channels.
• Use AI, NLP technologies, and cognitive machine learning to develop chatbot applications.
• Integrate chatbot solutions with multiple platforms.
• Improve the effectiveness of conversational agents using advanced technologies.
• Develop knowledge of emerging technologies and analytics techniques, and support business development opportunities.
• Tune and enhance Speech-to-Text models.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level