*hackajob
is collaborating with
Barclays
to connect them with exceptional professionals for this role.*
Join us as a Gen AI - SDET at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Gen AI - SDET you should have experience with:
- Expert-level proficiency in Large Language Models (LLM), LangChain, and LangGraph frameworks
- Advanced 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
- Robust background in:
- Generative AI architecture and evaluation methodologies
- Machine Learning model testing and validation
- Natural Language Understanding (NLU) testing strategies




- Natural Language Processing (NLP) quality assurance
- 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
- Expert-level knowledge in UI, mobile, and API testing methodologies
- Advanced proficiency with Behavior-Driven D

📌 Gen AI (Pune Division)
🏢 hackajob
📍 Pune Division