IBM WatsonX Orchestrate Full Stack Developer

Global Business Ser. 4u; Hartford (CT); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Global Business Ser. 4u is seeking an experienced Conversational AI Engineer in Hartford, CT. You will architect and optimize flows, integrating enterprise data sources to deliver context-aware responses across digital channels.

Collaborate with product, UI/UX, and backend teams to define requirements and ensure scalable, user-centric solutions using IBM WatsonX Orchestrate and related tools.

Qualifications

• 8+ years software delivery experience.

Responsibilities

• Design and develop AI conversations with external API data sources.

Skills

Software delivery

Chatbot development

Intent recognition

NLP best practices

CI/CD

Cloud deployment

Backend development

Java

Node.js

Python

JavaScript/TypeScript

Agile/DevOps

Education

Bachelor's degree in CS/Engineering

Tools

IBM WatsonX Orchestrate

Dialogflow CX

LivePerson

Amazon Lex

Kore.ai

Job description

Job Description

Hartford, CT || Hybrid

Job Description

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 health insurance answers across digital channels.

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 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.

Required Qualifications

• 8+ years software delivery experience
• 5+ 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.