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Artificial Intelligence QA

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Barclays

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

You will be involved in designing, developing, and executing testing strategies to validate functionality, performance, and user experience, while collaborating with cross-functional teams to identify and resolve defects, and continuously improve testing processes and methodologies, to ensure software quality and reliability.

Job Responsibility:

  • Development and implementation of comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards
  • Creation and execution automated test scripts, leveraging testing frameworks and tools to facilitate early detection of defects and quality issues
  • Collaboration with cross-functional teams to analyse requirements, participate in design discussions, and contribute to the development of acceptance criteria, ensuring a thorough understanding of the software being tested
  • Root cause analysis for identified defects, working closely with developers to provide detailed information and support defect resolution
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth

Requirements:

  • Understanding of Large Language Models (LLM), LangChain, and LangGraph frameworks
  • Python programming skills with demonstrated ability to architect scalable test automation solutions
  • Deep hands-on experience with Generative AI and Agentic AI implementations in production environments
  • Machine Learning model testing and validation methodologies
  • Natural Language Understanding (NLU) testing strategies
  • Natural Language Processing (NLP) quality assurance
  • Knowledge of prompt engineering and LLM evaluation frameworks (RAGAS, DeepEval, etc.)
  • Familiarity with vector databases for RAG testing
  • Experience with performance and load testing of Gen AI applications
  • Understanding of AI ethics, bias detection and responsible AI testing practices
  • Comprehensive knowledge of AWS services, particularly Bedrock, Lambda and CloudWatch
  • Experience architecting and implementing enterprise-scale cloud-based testing solutions
  • Expert proficiency with version control systems (Git, Stash) and branching strategies
  • Proven experience designing and optimizing CI/CD pipelines using Jenkins, GitLab CI, or similar tools
  • Deep understanding of Agile/Scrum methodology, SDLC best practices, and DevOps culture
  • Demonstrated ability to drive quality initiatives and establish testing excellence across organizations
  • Proven expertise in leading cross-functional collaboration with development, product, and operations teams
  • Experience establishing quality gates and governance frameworks for Gen AI applications
  • Knowledge in UI, mobile and API testing methodologies
  • Advanced proficiency with Behavior-Driven Development (BDD) frameworks and test design patterns
  • Experience with test management and reporting tools including Jira, Xray, ALM, and TestRail

Nice to have:

  • Experience with containerization (Docker, Kubernetes) for test environments
  • Background in data engineering or data quality testing
  • Publications, conference presentations, or contributions to open-source testing frameworks
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
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