Build Python‑based GenAI services using prompt‑engineering techniques for:
Functional and regression test case generation
Negative, boundary, and edge‑case coverage
Secure code analysis and vulnerability remediation guidance
Design, test, and optimize prompt strategies for accuracy, determinism, and repeatability in enterprise environments.
Integrate GenAI workflows with CI/CD, test frameworks, and security tooling.
Implement guardrails to mitigate hallucinations, prompt‑injection risks, and data‑leakage concerns.
Mentor engineers on responsible GenAI usage, prompt patterns, and model‑evaluation practices.
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 collaborating with multiple stakeholders in regulated BFSI environments.
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.
Python Developer – GenAI • Toronto, ON, ca
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