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Join us and contribute to the discovery of medicines that will impact lives! Hyderabad / Chennai | Full-Time | Experience: 3-6 years About Aganitha Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build. Aganitha (): countless or limitless in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Role Overview At Aganitha, we are looking for a Quality Assurance Engineer to work at the intersection of AI systems, agents, and test automation. This role goes beyond traditional QA you will be responsible for validating AI-driven workflows, agent-based systems, and complex product behaviors, ensuring reliability, robustness, and scalability in production environments. Key Responsibilities Design, develop, and maintain automation frameworks and test suites Test and validate AI/LLM-powered systems and agent-based workflows Evaluate end-to-end behavior of autonomous agents, including multi-step reasoning and decision flows Identify and debug failure modes, hallucinations, edge cases, and inconsistencies Build test strategies for dynamic, non-deterministic systems Collaborate with engineering, AI, and product teams to ensure high-quality releases Contribute to scalable QA strategies for AI-first products Ability to clearly explain: Automation frameworks used or built End-to-end testing approach Handling of failures and edge cases Strong practical experience over theoretical knowledge Ability to think beyond traditional QA and test AI-driven, adaptive systems Required Qualifications Strong hands-on experience in automation testing (mandatory) Experience with automation tools/frameworks such as Selenium, Playwright, Cypress, or similar Proven experience in end-to-end testing of real-world applications Ability to design scalable and maintainable automation frameworks Strong problem-solving skills with focus on edge cases and system behavior Preferred Qualifications Exposure to AI/LLM-based systems, prompt testing, or agent frameworks Understanding of testing non-deterministic systems and AI outputs Experience with product-level QA in complex systems .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.