Teamsite Developer Jobs (NOW HIRING)

Start Date: As soon as possible
Duration of the engagement: 6+ months
Location: Hartford, CT - Hybrid In office Tuesday to Thursday; Remote Monday & Friday
The Health Care Benefits Delivery organization within client's Data, Digital, Analytics, and Technology (DDAT) division is seeking a Full Stack Developer / Conversational AI Engineer to help deliver a next-generation Conversational AI platform. This role focuses on enabling members and providers to receive timely, accurate health insurance answers through the digital channels of their choice, improving overall access, clarity, and experience.
In this role, you will drive the end-to-end design and implementation of conversational experiences, specializing in IBM WatsonX Orchestrate and related Conversational AI technologies. You 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.
Responsibilities

• Participate in feature and user story refinement sessions with key stakeholders to clearly articulate requirements, identify gaps, and recommend adjustments as needed.
• Recommend and propose technical solutions aligned to business requirements, prioritization, scalability, and cost considerations.
• 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.
• Apply clean coding standards and engineering best practices throughout development.
• Integrate chatbot solutions across multiple platforms and deployment channels, including chat and voice.
• Troubleshoot, debug, tune, and deploy conversational agents, ensuring reliability and performance across channels.
• 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.

Required Qualifications:
Understanding of architecture patterns to enable scalable solutions for data management, BI, and analytics.
Deep understanding of data lifecycle management (operational databases, warehouses, integration and governance, pipelining, analytics enablement, and reporting).
Ability to break down Agile Stories into discreet tasks with estimates for planning.
Experienced full stack developer that has worked on complex enterprise scale applications.
Strong collaboration and communication skills within and across co-located teams
Experience delivering solutions through a SAFe delivery methodology
Dev Skills Required:
5+ years' experience as a Full Stack Developer using NodeJS/TypeScript & Java focusing on Spring and creating RESTful web services.
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)
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)
5+ years of debugging and optimization skills.
5+ years of experience creating unit/ integration testing using either Selenium or Junit, etc.
5+ years' experience developing and delivering microservices on OpenShift container platform.
5+ years' experience with either Postman, or SoapUI or Swagger or TeamSite, or Splunk.
5+ years' experience of participating in all aspects of agile software development, including design, implementation, and deployment.
5+ years of experience with cloud development and deployment principles using either AWS, Azure, or Google Cloud.
Enterprise DevOps & Deployment methods:
Experience with either Jenkins, Github, or Octopus deployment (CI/CD process).
Preferred Qualifications:
Experience with AngularJS / React / JSP /CSS / HTML / Python
Chatbot experience with any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai).
Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
Understanding of data and analytics tools including Tableau, Alation, DataRobot, Trifacta.
Critical thinker, with the ability to make decisions on technology aligned to business needs for analytics and data engineering functions.
Highly motivated, independent worker with a pulse on industry trends and best practices.
Good business acumen skills and professional communication skills.
Ability to work collaboratively in a highly matrixed environment.
Education
Bachelor's degree in computer science and engineering or STEM or equivalent experience ( high school + 4 years of relevant experience.)