
We're Giant Leap Systems — an AI-first services startup in Pune building agentic systems and AI-powered products for clients.
AI QA Engineer — Pune | ₹4–6 LPA | 0–2 yrs
What you'll do:
• Test and sign off on client-facing fullstack web applications
• Write test plans, track bugs end-to-end, own release quality
• Test REST APIs and system integrations
• As our AI systems ship: validate LLM outputs and agent workflows
What we need:
• Basic web testing experience (internship or projects fine)
• Structured bug reports and test case writing
• Postman or DevTools familiarity
• Genuine curiosity about AI — no prior LLM testing needed
Bonus: Playwright / Selenium / Cypress, REST API testing, any LLM/AI experimentation
Why join: Own QA from day one, direct founder access, be early in a team building AI-first products, real growth path into AI quality engineering.

About Giant Leap Systems
About
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- Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
- Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
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Experience: 5 to 8 years
Location: Bangalore
Notice Period: Immediate to 15 days
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Location: Andheri, Mumbai
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Joining: Immediate Joiners Preferred
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We are looking for a proactive and detail-oriented QA Automation Engineer with 2 to 4 years of experience. The ideal candidate must have solid experience in automation testing, strong command over SQL, and hands-on proficiency in API testing using Postman. This is a full-time on-site role based in Andheri, Mumbai, and we are open to candidates from diverse project backgrounds as long as the core skills are strong.
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- Participate in Agile ceremonies and contribute to improving testing processes and coverage.
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- ✅ Practical, hands-on experience with Postman for API Testing
- ✅ Solid understanding of software QA methodologies, tools, and processes
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Excellent communication skills.
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What we Offer
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• Flexi Office Working Hours
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At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.
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Troubleshooting and Supporting Escalations:
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
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environment
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same.
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Nice to Have:
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