Quality Engineer- AI Platform Testing

21 hours ago

Bengaluru, Karnataka, India Talent Worx Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title: Quality Engineer- AI Platform Testing

Location: Bangalore

Experience: 5-7 years

Education: Bachelor's or Associate's Degree in Computer Science, Engineering, or a related field

Job Summary:

We are looking for an experienced Quality Engineer with a strong background in software testing processes, automation, test framework development and application testing. The ideal candidate will have expertise in AI based application/platform testing, Model [LLM's] evaluation testing, RESTful API testing and technical proficiency in python, JavaScript, TypeScript, and related tools.

Key Responsibilities:


• Create and maintain comprehensive test cases for web applications.


• Develop and execute smoke, functional, regression, and integration testing processes for software applications.


• Design, create, and maintain automated test frameworks using tools like RAGA'S/ DeepEval/Lang chain, Postman, VS Code, Cucumber and


• Collaborate closely with development and product teams to ensure testing coverage across all stages of development.


• Identify, record, document thoroughly and track bugs.


• Perform load and performance testing using tools like JMeter.


• Manage testing processes using GitHub, JIRA, and other DevOps tools.


• Contribute to continuous integration/continuous deployment (CI/CD) practices to enhance test automation pipelines.


• Work with cloud technologies, particularly AWS, to manage testing environments.

Required Skills & Qualifications:


• years of relevant work experience in software testing, particularly in automation and test framework development.


• Proficiency in python, JavaScript, TypeScript, Postman, VS Code, Cucumber, and


• Must have experience in Model [LLM's] evaluation testing, analysing model performance


• Strong experience in backend testing with exposure to LLM's using Swagger, postman tools.


• Must have experience in tools like Kubernetes to check the logs.


• Must have experience in model evaluation frameworks [for ex: RAGA'S, DeepEval, Lang chain]


• Familiarity with various testing techniques. Knowledge of quality standards and regulations.


• Strong understanding of version control systems (GitHub) and project management tools (JIRA).


• Experience in Agile/Scrum development environments.


• A detail-oriented approach with excellent problem-solving skills.

Preferred Qualifications:


• Familiarity with continuous integration and delivery (CI/CD) pipelines using Github actions.


• Experience or knowledge of machine learning and open-source AI models, Test automation using pytest.


• Experience testing applications hosted in multiple geographical locations.


• Familiarity with cloud technologies, especially AWS.

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