Conversational AI Engineer (Individual Contributor)
Onsite 3 days/week Hartford CT
Visa: Any
Must Have Qualifications
- Strong experience as a full stack developer delivering complex enterprise scale applications
- Hands on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX Amazon Lex LivePerson)
- Proficiency in NodeJS/TypeScript and Java with Spring building RESTful web services
- Solid understanding of scalable architecture patterns data lifecycle management and cloud native development
- Experience developing and deploying microservices on OpenShift or comparable container platforms
- Strong Agile experience including breaking down user stories into tasks and estimating work within a SAFe delivery model
- Strong collaboration and communication skills across co located cross functional teams
Nice to Have Qualifications
- Experience with Angular React HTML CSS JSP or Python
- Familiarity with Speech to Text tuning and SSML for text to speech refinement
- Exposure to analytics and data platforms such as Tableau Alation DataRobot or Trifacta
- Experience with CI/CD pipelines using tools such as Jenkins GitHub or Octopus
- Strong business acumen and interest in emerging AI and conversational technologies
Day to Day Overview
In this role you will design build test and deploy conversational AI solutions that deliver accurate scalable and context aware chatbot and voice experiences. You will participate in feature and user story refinement sessions translate requirements into technical implementations and develop conversational flows that integrate with enterprise APIs cloud functions and backend systems. You will collaborate closely with product managers UI/UX designers backend engineers and other developers to ensure seamless end to end delivery. On a daily basis you will troubleshoot debug tune and optimize conversational agents across multiple channels apply clean coding standards and continuously improve conversational accuracy using NLP and training data best practices.
Conversational AI Engineer (Individual Contributor) Onsite 3 days/week Hartford CT Visa: Any Must Have Qualifications Strong experience as a full stack developer delivering complex enterprise scale applications Hands on experience designing and implementing conversational AI solutions ...
Conversational AI Engineer (Individual Contributor)
Onsite 3 days/week Hartford CT
Visa: Any
Must Have Qualifications
- Strong experience as a full stack developer delivering complex enterprise scale applications
- Hands on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX Amazon Lex LivePerson)
- Proficiency in NodeJS/TypeScript and Java with Spring building RESTful web services
- Solid understanding of scalable architecture patterns data lifecycle management and cloud native development
- Experience developing and deploying microservices on OpenShift or comparable container platforms
- Strong Agile experience including breaking down user stories into tasks and estimating work within a SAFe delivery model
- Strong collaboration and communication skills across co located cross functional teams
Nice to Have Qualifications
- Experience with Angular React HTML CSS JSP or Python
- Familiarity with Speech to Text tuning and SSML for text to speech refinement
- Exposure to analytics and data platforms such as Tableau Alation DataRobot or Trifacta
- Experience with CI/CD pipelines using tools such as Jenkins GitHub or Octopus
- Strong business acumen and interest in emerging AI and conversational technologies
Day to Day Overview
In this role you will design build test and deploy conversational AI solutions that deliver accurate scalable and context aware chatbot and voice experiences. You will participate in feature and user story refinement sessions translate requirements into technical implementations and develop conversational flows that integrate with enterprise APIs cloud functions and backend systems. You will collaborate closely with product managers UI/UX designers backend engineers and other developers to ensure seamless end to end delivery. On a daily basis you will troubleshoot debug tune and optimize conversational agents across multiple channels apply clean coding standards and continuously improve conversational accuracy using NLP and training data best practices.
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