What are the responsibilities and job description for the IBM Watson/Conversational AI Engineer position at Lorven Technologies, Inc.?
Hi ,
This is Rajkumar from Lorven Technologies Inc.
Our client is looking IBM Watson/Conversational AI Engineer position located in Hartford CT/Dallas,TX (Hybrid) and below is the detailed requirements.
Position: IBM Watson/Conversational AI Engineer
Location: Hartford CT/Dallas,TX (Hybrid)
Job Mode: Contract
Job description:
- Bachelor’s degree in computer science and engineering or STEM or equivalent experience ( high school 4 years of relevant experience.)
- In this role, the candidate will drive the end-to-end design and implementation of conversational experiences, specializing in IBM WatsonX Orchestrate and related Conversational AI technologies.
- The candidate will architect, build, and optimize rich conversational flows, integrate enterprise data sources, and ensure responses are context-aware, accurate, and trustworthy.
- As an expert on the full application stack, you will align features and user stories with solution designs, maintain a holistic understanding of the platform, and collaborate closely with product, UI/UX, and backend teams to influence requirements, deliver scalable solutions, and ensure a seamless, user-centric experience from end to end.
- Must have 5 years’ experience as a Full Stack Developer using NodeJS/TypeScript & Java focusing on Spring and creating RESTful web services.
- You should have 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)
- Good Experience and 3 years training and improving intent recognition by curating the appropriate training data sets
- Must have a 3 years applying Conversational AI best practices (e.g. NLP and training data best practices)
- You should have a 5 years of debugging and optimization skills.
- Strong hands on 5 years of experience creating unit/ integration testing using either Selenium or Junit, etc.
- Must have a 5 years’ experience developing and delivering microservices on OpenShift container platform.
- Good 5 years’ experience with either Postman, or SoapUI or Swagger or TeamSite, or Splunk.
- You should Design, develop, and implement end-to-end Conversational AI solutions, including chatbot and voice experiences.
- Architect and build AI-driven conversational flows that integrate with external APIs, cloud functions, and enterprise systems.
- Identify data needs for use cases and partner with integration architects and backend teams to map enterprise services to conversational and user interface layers.
- Collaborate closely with product, UI/UX designers, backend engineers, and other developers to design, develop, test, deploy, and maintain conversational AI solutions.
- Leverage AI, NLP, and cognitive machine learning technologies to enhance the accuracy, relevance, and effectiveness of conversational agents.
- Tune and enhance Speech-to-Text models to improve conversational understanding and user experience.
- Address technical issues, risks, and dependencies as part of solution design and delivery.
- Continuously build expertise in emerging technologies and analytics techniques, contributing to innovation and business value.