Python QE Lead
(Python, Robot Framework, API, Selenium, Robo Framework, Good Communication, Strong Stakeholder Management, GenAI Exposure, BFSI experience is preferenable)
Toronto - Hybrid (4 Days WFO)
12 months
Job Description:
We discussed. Please find modified Job Description for the role.
a) Responsibilities:
Build Python-based GenAI services using prompt engineering techniques tailored for:
o Functional and regression test case generation
o Negative, boundary, and edge-case coverage
o Secure code analysis and vulnerability remediation guidance
Design, test, and optimize prompt strategies for accuracy, determinism, and repeatability in enterprise use cases.
Integrate GenAI workflows with CI/CD, test frameworks, and security tooling.
Implement guardrails to manage hallucinations, prompt injection risks, and data leakage.
Mentor engineers on responsible GenAI usage, prompt patterns, and model evaluation practices.
Must-Have Skills
• Strong hands-on experience with Python (enterprise-grade, production-ready code)
• Deep expertise in Prompt Engineering for GenAI use cases
• Experience applying GenAI to test automation and security/vulnerability remediation
• Strong understanding of SDLC, QA processes, and secure coding practices
• Experience working with multiple stakeholders in regulated BFSI environments
Nice-to-Have Skills
• Experience integrating GenAI with CI/CD, test frameworks, or security tooling
• Exposure to Responsible AI, explainability, and governance frameworks
• Prior experience in banking, capital markets, or financial services platforms
• Familiarity with DevSecOps or AI-assisted quality engineering practices
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