Overview :
Name of the company: Giant Leap Systems.
Job Title: QA Engineer
Employment Type: Full-Time
Experience 0-2 years (Internships Count)
Work Mode: In-Office
Job site: Pune, Maharashtra.
Salary: 4-6 LPA
About Giant Leap Systems
Giant leap Systems is an artificial intelligence solutions company headquartered in Pune and deals in the development of agentic systems that are next generation and products based on artificial intelligence. The company is at the crossroad of software engineering and artificial intelligence and has provided innovative solutions to businesses within industries.
The Giant Leap Systems in comparison with the traditional IT companies is highly engaged in the creation of smart systems that do not simply deliver a deterministic solution. The company has been occupied by agent processes, applications, which have the foundation of LLM, and automation by AI.
As the one that is defined by the high score of experimentation, learning, and ownership, the Giant Leap Systems is a very interesting place where QA professionals who want to go beyond the usual testing and decide to explore AI quality engineering can work.
Job Overview - AI QA Engineer
Giant Leap Systems seeks an AI QA Engineer, which would begin with the quality assurance of all full-stack web applications and later to the AI system testing involving products of both LLM and agentic process at a slow rate.
The job may be very appealing to those who do not mind working in the sphere of AI and who have 0-2 years of experience in the area of software testing.
The candidate shall assume responsibility of QA which shall involve test planning, test execution and check in testing. The job description will change over the time and will require testing AI systems that cannot provide predictable results and more information about behavior verification and system reliability would be needed.
Key Responsibilities
The tasks will be the following as an AI QA Engineer at Giant Leap Systems:
Composing detailed test strategies/ test plans.
Making exploratory and regressive analysis.
The test of complete web programs (front and back end).
Establishing, recording and monitoring defects.
Setting go/no-go decisions of clients.
There are such tools as Postman or Rest Assured, which can be used in order to test APIs.
Cooperation with product and developer staffs.
Little by little, the experimentation of AI systems and LLM outputs.
Enhancing assurance of agent processes and system reaction.
Developing AI-based systems QA systems.
Such a post also takes flexibility and the desire to learn newer ways of testing as opposed to the usual QA.
Effective skills and expertise.
In order to be eligible to this position, the applicant must have the following:
Manual Testing
Excellent knowledge in the area of manual testing.
The knowledge of exploratory and regression testing.
Skills in bug reporting and test cases writing.
Web Application Testing
Frontend and back end system testing.
Knowledge on entire stack application processes.
API Testing
History with Postman or Rest Assured.
Capability to authenticate API response and procedures.
Automation Testing
Experience in automation tools like Playwright, Cypress or Selenium.
Automation test frame work experience.
Other Technical Skills.
Selector experience.
Fundamental skills on software testing lifecycle.
AI & LLM Exposure (Preferred)
And although the former experience is not a pre-requisite, the following will be a benefit:
Interest systems Interest AI and LLM-based systems.
Trial of artificial intelligence tool/platform.
The systems of interest were non-deterministic systems which were experimental.
Who Should Apply?
This role is ideal for:
The fresher or the candidates who have the experience of 0-2 years of QA.
Applications that have the experience in testing during the internship.
Those people that would switch to AI QA work.
Applicants interested in the employment in innovations and emerging technologies.
Why Join Giant Leap Systems?
Giant Leap Systems provides the opportunity to develop both QA and AI spheres:
This belongs to ownership of the QA processes on the first day.
The possibility to collaborate with entrepreneurs and engineers.
Introduction to artificial intelligence processes and systems.
Opportunity to develop QA systems in agentic systems.
The practical experience with AI.
Collaborative and team based workplace.
The vacancy is the right vacancy to be offered to the participants, who are willing to go further than the traditional QA and to investigate the possibilities of testing in the AI systems.
The Prospects of Professional Development.
A candidate may start as an AI QA Engineer and become an AI Test Engineer, Automation Engineer or QA Lead that operates an AI system. This position introduces the new prospect in the new domains such as the testing of the LLM and the validation of the AI and the quality control of the intelligent systems.
Job Location & Work Mode
Location: Pune, Maharashtra
Work Mode: Full-Time, In-Office
The job seekers ought to be able to work in the office and also in teams.
Salary Details
Compensation: 4-6 LPA
It will be a pay rate that relies on the interview experience, competence and performance.
How to Apply
Interested applicants are welcome to provide updated resume and a little note explaining why they want the job:
Email: hr@giantleapsystems.com
The application of testing, tools, and eagerness to study AI is oriented among the candidates.
Only the shortlisted candidates will be contacted further.