Job Description

Role : GenAI Engineer




Overall 5+ years of industry experience with at least last 2+ years of extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack.


Excellent programming skills and proficiency in python.


Experience with AWS and Azure cloud.


Hands on exposure to using Azure cloud services for storage, serverlesslogic, search, transcription and chat Ability to build API based scalable solutions and debug & troubleshoot software or design issues. Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.


Responsible for the building, configuration, and maintenance of software solutions within GenAI Engineering team portfolio.


Ensure the software and service delivered is of high quality by collaborating with their team members and leveraging unit testing and continuous integration.


Be an active team member who participates in the estimation of work required, creating a work break down structure and identifying tasks to deliver software features.

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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.