Senior Software QA Engineer

Responsibilities

Skills and Experience

• 4+ years of experience in Software QA Automation, with at least 1-2 years specifically focused on testing AI/ML-powered applications or LLM integrations.
• Strong programming proficiency in Python (highly preferred for AI workflows) or JavaScript/TypeScript.
• Hands-on experience with modern automation tools (e.g., Playwright, Cypress, Selenium).
• Expertise in API testing tools (e.g., Postman, RestAssured, PyTest).
• Familiarity with AI evaluation frameworks (e.g., Ragas, TruLens, Deepchecks) or a proven ability to write custom evaluation scripts for probabilistic outputs.
• Basic understanding of vector databases, embeddings, and how data pipelines feed into ML models.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Bonus Points

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• A healthy obsession with AI safety and ethics.

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