Key Responsibilities Platform Development Optimization Design develop test and deploy advanced conversational AI agents using Google Dialogueflow ES CX and or Voiceflow Lead efforts to identify analyze and rectify gaps and inefficiencies in existing chat conversations across Highmarks various member and provider portals Optimize NLU models intent recognition entity extraction and dialogue management to improve accuracy and user satisfaction Implement advanced dialogue flows contextual understanding and personalized responses Integration Architecture Integrate conversational AI solutions with internal and external APIs databases CRM systems and other Highmark platforms Design and implement webhook integrations for dynamic content retrieval and business logic execution Work closely with backend developers data scientists and product managers to define integration requirements and ensure robust scalable solutions Gap Analysis Improvement Conduct thorough analysis of chat transcripts user feedback and conversational analytics to pinpoint areas for improvement e g frequently asked unhandled questions dead ends poor resolution rates Propose and implement strategies to enhance conversation flows add new intents refine responses and improve overall bot efficacy Develop and maintain comprehensive testing strategies including unit integration and user acceptance testing for conversational flows Collaboration Mentorship Collaborate with UX UI designers content strategists and business stakeholders to translate business requirements into effective conversational designs Provide technical leadership and mentorship to junior developers on conversational AI best practices tools and methodologies Participate in code reviews architectural discussions and agile sprint planning sessions Documentation Best Practices Create and maintain detailed documentation for conversational AI designs development processes and operational procedures Stay abreast of the latest advancements in conversational AI NLU and related technologies recommending current tools and approaches as appropriate Required Qualifications Bachelors degree in Computer Science Software Engineering Artificial Intelligence or a related technical field 5 years of experience in software development with at least 3 years focused specifically on conversational AI development Proven handson experience with either Google Dialogueflow ES and or CX preferred or Voiceflow Strong proficiency in at least one modern programming language e g Python Node js Java for webhook development and backend integrations Experience with API design and integration RESTful APIs JSON Solid understanding of Natural Language Understanding NLU Natural Language Generation NLG and dialogue management principles Experience with version control systems e g Git Demonstrated ability to analyze conversational data to identify trends pain points and areas for improvement Excellent problemsolving skills and attention to detail Strong communication skills both written and verbal with the ability to articulate technical concepts to nontechnical stakeholders

📌 Dialogue Flow Developer (Hyderabad)
🏢 Thryve Digital Health
📍 Hyderabad