Quality Assurance Engineer

A category-leading, VC-backed AI startup on an exponential growth trajectory, E42 is a no-code enterprise Cognitive Process Automation (CPA) platform to spawn AI co-workers with human-like cognitive abilities that automate processes across enterprise functions and verticals. We have 50+ marquee enterprise customers across the globe, including Fortune 500 companies like Accenture, Tata Communications, Mahindra and Mahindra that have deployed these AI co-workers to automate processes across finance, HR, marketing, customer care, to name a few.  

With a wide moat in the Cognitive Process Automation space, the platform helps enterprises become intelligent one AI co-worker at a time while propelling E42 as a global leader.    

E42.ai is a NASSCOM Deep Tech member and has been featured in IDC and Gartner reports, as well as awarded by most of its partners like Microsoft, Oracle, SAP, NVIDIA, and the likes.  

E42.ai’s Neil – AI Co-worker for AP (Co-worker is a supervisor to a group of Specialized AI agents for a process) handles end to end Accounts Payable process without a human touch for large organizations across the world.

We are currently looking for driven Individuals to contribute into the Neil team

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Position: Permanent

Role:

Experience: 0 – 2 years

Roles and responsibilities:

1. Designing, developing, and implementing comprehensive test plans and frameworks for both automation and manual testing.
2. Performing and owning technical testing such as performance testing.
3. Constantly evaluating the test automation strategy and approach to identify areas of improvement, such as test automation frameworks and coding standards.
4. Building and maintaining efficient test frameworks and pipelines for performance, stress, and integration tests.
5. Closely coordinating with the delivery team and sharing detailed and accurate test reports.
6. Creating and maintaining detailed test documentation, including test plans, test cases, and test results.
7. Governing the adherence to industry-wide quality practices and addressing any impediments.
8. Identifying which tools and technologies can be implemented, aligning with those already used across the broader development function and in line with the skill set of the team.
9. Possessing a broad awareness of testing approaches, practices, and techniques to help design and deliver the overall testing methodology used by the team.
10. Defining and monitoring quality metrics, using data to drive improvements in testing processes and overall product quality

Skills Required:

1. Manual testing and unit testing with Python.
2. Expertise in Pytest is a must-have.
3. Must have experience in generative AI.
4. Automation testing with tools like JMeter and Selenium.
5. Experience in AI automation testing.
6. Performance testing proficiency.
7. Expertise in test automation tools, with benchmarked stress testing capabilities.
8. Ability to record and play automation tests on omnichannel platforms.
9. Excellent communication and collaboration skills are essential.
10. Beneficial to have Linux and Python skills.
11. Experience with AI worker implementation in chatbots.
12. Experience in leading an automation test team of more than two people.