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Artificial Intelligence Engineer

Insight Global
2 hours ago
Full-time
On-site
6 Month Contract to Hire Onsite 3 days/week – Hartford, CT$55/hr-$65/hrMust-Have QualificationsStrong experience as a full stack developer delivering complex, enterprise-scale applicationsHands-on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX, Amazon Lex, Kore.ai, LivePerson)Proficiency in NodeJS/TypeScript and Java with Spring, building RESTful web servicesSolid understanding of scalable architecture patterns, data lifecycle management, and cloud-native developmentExperience developing and deploying microservices on OpenShift or comparable container platformsStrong Agile experience, including breaking down user stories into tasks and estimating work within a SAFe delivery modelStrong collaboration and communication skills across co-located, cross-functional teamsNice-to-Have QualificationsExperience with Angular, React, HTML, CSS, JSP, or PythonFamiliarity with Speech-to-Text tuning and SSML for text-to-speech refinementExposure to analytics and data platforms such as Tableau, Alation, DataRobot, or TrifactaExperience with CI/CD pipelines using tools such as Jenkins, GitHub, or OctopusStrong business acumen and interest in emerging AI and conversational technologiesDay-to-DayIn 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.