Experience
At least 5+ years relevant technical work experience, in developing and implementing Conversational AI. And Overall experience above 8 years
Technical Skills
Expertise in prompt engineering to guide LLM-based customer interactions
Strong understanding of Conversational AI frameworks, IVR, and chat-based interactions
Experience defining rules, air-gapping mechanisms, and conversation guidelines to control LLM behavior
Ability to craft structured prompts for handling customer queries in telecom and contact center environments
Understanding of NLU, intent recognition, and contextual flow management
Experience in fine-tuning conversation flows while adhering to compliance and security standards
Collaborate with cross-functional teams to design, develop, and deploy conversational AI applications using Kore AI, across IVR, chat, and voice platforms.
Design effective, structured prompts that guide LLM responses while maintaining accuracy, consistency, and compliance
Develop and enforce air-gapping mechanisms to prevent undesired or off-topic responses
Define and document rules, guidelines, and guardrails for LLM-based interactions
Optimize multi-turn conversations to ensure seamless IVR and chat experiences
Collaborate with CX, product, and AI teams to refine conversational logic
Conduct A/B testing and performance analysis to improve LLM-generated responses
Good to have skills
Knowledge of machine learning algorithms and techniques.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Implementation of best practices and coding standards in conversational AI development, ensuring scalability and maintainability.
Stay updated with the latest trends in Conversational AI and Generative AI technologies, contributing to continuous improvement.
Knowledge in testing, debugging, and performance optimization of conversational AI applications.
Knowledge of telecom industry use cases, BSS, and IVR workflows
Experience in testing and optimizing LLM outputs for customer-facing applications
Strong analytical mindset with attention to detail
Ability to adapt prompt strategies based on business and user requirements
Familiarity with LLM safety, compliance, and ethical AI practices
P1 C3 TSTS Experience
Experience
At least 5+ years relevant technical work experience, in developing and implementing Conversational AI. And Overall experience above 8 years
Technical Skills
Expertise in prompt engineering to guide LLM-based customer interactions
Strong understanding of Conversational AI frameworks, IVR, and chat-based interactions
Experience defining rules, air-gapping mechanisms, and conversation guidelines to control LLM behavior
Ability to craft structured prompts for handling customer queries in telecom and contact center environments
Understanding of NLU, intent recognition, and contextual flow management
Experience in fine-tuning conversation flows while adhering to compliance and security standards
Collaborate with cross-functional teams to design, develop, and deploy conversational AI applications using Kore AI, across IVR, chat, and voice platforms.
Design effective, structured prompts that guide LLM responses while maintaining accuracy, consistency, and compliance
Develop and enforce air-gapping mechanisms to prevent undesired or off-topic responses
Define and document rules, guidelines, and guardrails for LLM-based interactions
Optimize multi-turn conversations to ensure seamless IVR and chat experiences
Collaborate with CX, product, and AI teams to refine conversational logic
Conduct A/B testing and performance analysis to improve LLM-generated responses
Good to have skills
Knowledge of machine learning algorithms and techniques.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Implementation of best practices and coding standards in conversational AI development, ensuring scalability and maintainability.
Stay updated with the latest trends in Conversational AI and Generative AI technologies, contributing to continuous improvement.
Knowledge in testing, debugging, and performance optimization of conversational AI applications.
Knowledge of telecom industry use cases, BSS, and IVR workflows
Experience in testing and optimizing LLM outputs for customer-facing applications
Strong analytical mindset with attention to detail
Ability to adapt prompt strategies based on business and user requirements
Familiarity with LLM safety, compliance, and ethical AI practices
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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