Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Qualification
Job Description:
The Application Infrastructure team is seeking a motivated Chatbot Conversational Al Engineer to join the Chatbot team. A successful candidate will participate in all aspects of software development, working directly with chatbot experts, other developers and engineers within the team, and our internal clients who wish to adopt chatbot solutions, as part of technology service delivery. The candidate will have a very strong technical foundation, a strategic mindset, great communication skills and the ability to collaborate well with others in a truly global team. Act as a subject matter expert on the chatbot platform Developintegrations in Python and Groovy that enable virtual agents to interoperate with various systems Participate in every phase of the Software Development Lifecycle Create Generative Artificial Intelligence solutions and drive their adoption Understand, refine, and translate customer requirements into working software Create and enhance various utilities that support the chatbot platform Lead design and code reviews Work closely with a global team of engineers, SREs, and conversational Al experts Identify automation opportunities and lead the way in addressing them Train and refine intent detection models Continually improve production virtual agents Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation Support POCs and product demonstrations Primary Skills Strong knowledge of software design and best practices Deep experience with Python coding and development Experience with JavaScript and Node js and other software development frameworks and libraries Experience building Al applications, preferably Generative Al and LLM based apps Experience with Agentic Al frameworks Familiarity with CCD practices and experience with GitHub and Jenkins Excellent written and verbal communication skills Deep experience with Agile development practices such as Scrum Strong background in Linux Solid understanding of LP and Artificial Intelligence Machine Learning concepts You might also have Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore Microsoft Copilot Studio or similar platform Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. Understanding of Auth 2.0 protocol for secure authorization Sourcing and labeling training data for ML models Understanding of SRE techniques Understanding of Model Ops ML Ops LLM .
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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 30,000 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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