SDET – Generative AI Automation Engineer (Marketing Department)

Join our energetic Marketing team as a Software Development Engineer in Test (SDET) and help shape the future of our AI-powered customer engagement platform. You’ll design and maintain robust automation frameworks that ensure the quality, reliability, and performance of our generative AI features while collaborating closely with product, data science, and marketing stakeholders.

Responsibilities:

1. Design, develop, and maintain automated test suites for web and API layers using Python and Playwright.
2. Validate the accuracy, safety, and performance of generative AI models integrated into marketing campaigns and customer-facing products.
3. Collaborate with developers, data scientists, and marketers to define test strategies and acceptance criteria for new features.
4. Integrate automated tests into CI/CD pipelines to enable rapid, reliable releases.
5. Investigate, triage, and document defects, providing clear feedback and actionable insights to engineering teams.
6. Continuously analyze test coverage, identify gaps, and implement improvements to ensure high product quality.
7. Create performance, load, and reliability tests to guarantee scalability of AI-driven services.
8. Contribute to and advocate for best practices in quality engineering across the organization.

Requirements:

1.



1–3 years of hands-on experience as an SDET, QA Automation Engineer, or similar role.
2. Strong proficiency in Python for test automation and scripting.
3. Working knowledge of Playwright (or equivalent browser automation tools) for UI testing.
4. Understanding of generative AI concepts and experience validating machine-learning or NLP models.
5. Familiarity with RESTful API testing and related tooling (e.g., Postman, pytest, or similar).
6. Experience integrating automated tests within CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI).
7. Solid debugging, analytical, and problem-solving skills with a detail-oriented mindset.
8. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Nice to Have:

1. Exposure to marketing technology platforms (CRM, marketing automation, A/B testing tools).
2. Hands-on experience with NLP frameworks (e.g., Hugging Face, spaCy) or LLM fine-tuning.
3. Knowledge of cloud environments such as AWS, GCP, or Azure.
4. Experience with containerization and orchestration (Docker, Kubernetes).
5. Familiarity with data analytics and visualization tools to assess model performance.
6. Contributions to open-source test automation or AI projects.

📌 Sdet (Pune)
🏢 ZS
📍 Pune