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
Job Description:
Act as the team champion for GitHub Copilot and Claude Code, integrating these tools into daily workflows to increase in developer productivity.
Design and maintain Context Environments (indexing, .github/copilot-instructions.md, etc.) to ensure AI assistants produce code that strictly adheres to our architectural standards.
Master complex prompt techniques—such as Chain-of-Thought for logic extraction and Few-Shot for architectural mapping—to guide LLMs through non-trivial coding tasks
Develop and deploy AI agents (using frameworks like LangChain or LlamaIndex) to automate the conversion of legacy code (e.g., Monolithic Java, COBOL) into modern microservices.
Build and maintain autonomous migration agents that can reason through codebase dependencies, generate pull requests, and self-heal based on compiler feedback.
Implement RAG (Retrieval-Augmented Generation) systems to talk to legacy documentation and extract business logic for re-implementation.
Establish automated testing and linting pipelines to validate all AI-generated code, ensuring security and performance benchmarks are met before human review.
Create reusable prompt templates and chunking strategies to ensure consistency across different application migration workstreams.
Embed Generative AI workflows directly into the CI/CD pipeline to automate documentation updates and unit test generation.5+ years of experience in AI/ML development with focus on coding assistance tools & agentic systems
Hands-on development experience using Github Copilot, Claude Code for rapid AI prototyping and implementation
Experience with LangGraph and agentic workflow development
Knowledge of LLM evaluation methodologies, testing frameworks, and quality assurance
Understanding of reasoning models, embedding models, and prompt optimization Experience with document processing and unit test generation Experience in any of the cloud platform (AWS / Azure / GCP)
Qualification
Job Description:
Act as the team champion for GitHub Copilot and Claude Code, integrating these tools into daily workflows to increase in developer productivity.
Design and maintain Context Environments (indexing, .github/copilot-instructions.md, etc.) to ensure AI assistants produce code that strictly adheres to our architectural standards.
Master complex prompt techniques—such as Chain-of-Thought for logic extraction and Few-Shot for architectural mapping—to guide LLMs through non-trivial coding tasks
Develop and deploy AI agents (using frameworks like LangChain or LlamaIndex) to automate the conversion of legacy code (e.g., Monolithic Java, COBOL) into modern microservices.
Build and maintain autonomous migration agents that can reason through codebase dependencies, generate pull requests, and self-heal based on compiler feedback.
Implement RAG (Retrieval-Augmented Generation) systems to talk to legacy documentation and extract business logic for re-implementation.
Establish automated testing and linting pipelines to validate all AI-generated code, ensuring security and performance benchmarks are met before human review.
Create reusable prompt templates and chunking strategies to ensure consistency across different application migration workstreams.
Embed Generative AI workflows directly into the CI/CD pipeline to automate documentation updates and unit test generation.5+ years of experience in AI/ML development with focus on coding assistance tools & agentic systems
Hands-on development experience using Github Copilot, Claude Code for rapid AI prototyping and implementation
Experience with LangGraph and agentic workflow development
Knowledge of LLM evaluation methodologies, testing frameworks, and quality assurance
Understanding of reasoning models, embedding models, and prompt optimization Experience with document processing and unit test generation Experience in any of the cloud platform (AWS / Azure / GCP)
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 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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