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.
- Robust 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Software QA Engineer (New Delhi)
🏢 Crimson Education
📍 New Delhi