AI Conversational Bot Developer Specialist

Truliant Federal Credit Union•Winston-Salem, NC

About The Position

Truliant’s mission is to improve lives by putting our members first, providing great service and straightforward financial solutions. Our core values of Member Focus, Service, Guidance, Relationships, and Community define how we interact with members to fulfill our mission of improving lives and providing a foundation on which we conduct ourselves. Our Promise to Our Teammates: Truliant strives to provide all teammates with an enjoyable place to work where they feel valued, empowered and rewarded for all that they do. Purpose of the Job The AI Conversational Bot Developer Specialist is responsible for designing, developing, and maintaining conversational AI solutions using the Kore.ai platform. This role builds conversational workflows, trains NLP models, integrates enterprise systems, and supports production deployments of conversational automation capabilities. The Specialist collaborates with architects, engineers, contact center teams, and business stakeholders to automate member interactions and improve digital service capabilities.

Requirements

Must maintain API’s and workflows within Kore.AI or other enterprise AI platforms.
Must have a strong understanding of JSON data transformation and API request/response processing.
Must have the ability to troubleshoot and debug integration issues across Node.js middleware, Java services, and Python automation scripts.
Must have familiarity with microservice architectures and distributed application design.
Should possess a strong commitment to providing excellent service to Truliant’s members.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline is required.
3–6 years of professional experience developing backend services or application integrations using Node.js, Java, or Python is required.
3–6 years of experience implementing REST APIs and web service integrations within enterprise environments is required.
Experience supporting automation platforms, conversational AI solutions, or digital service platforms is required.
3–6 years of experience developing backend services or integrations using Node.js and JavaScript required.
Experience building and consuming RESTful APIs and managing API integrations with enterprise systems required.
Experience using Python for automation scripts, analytics, integration support, or data processing workflows required.
Experience using development tools such as Git, CI/CD pipelines, automated testing frameworks, and API development tools required.
Experience working with cloud-based application platforms or containerized environments required.
Professional experience using Java to build or integrate with enterprise services, microservices, or middleware platforms required.

Nice To Haves

Experience working within Agile development teams delivering iterative software releases is preferred.
Experience working in financial services or other regulated technology environments is preferred.
Experience implementing secure API integrations, including OAuth authentication and token-based access methods preferred.
Experience developing integrations for conversational AI platforms or automation technologies preferred.
Experience integrating with CRM systems, contact center platforms, or financial service systems preferred.

Responsibilities

Designs and develops conversational workflows and dialog tasks within the Kore.ai platform.
Trains NLP models, including intents, entities, and contextual conversation handling.
Develops service node scripting logic using JavaScript to support API integrations.
Integrate conversational bots with enterprise systems, including CRM platforms, contact center solutions, and core banking APIs.
Configures and maintains escalation workflows that transfer conversations to live agents when appropriate.
Performs testing and validation of conversational experiences, including regression and user acceptance testing.
Monitors bot performance metrics, including containment rates, intent accuracy, and conversation success rates.
Analyzes conversation transcripts and refines training models to improve conversational performance.
Maintains documentation and development standards for conversational automation solutions.
Collaborates with cross-functional teams to identify and implement new automation opportunities.
Participates in Agile development activities, including sprint planning, backlog refinement, and feature delivery.
Assists with other tasks and projects as assigned.