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Meril • Vapi, Gujarat, India
Role & seniority: Senior AI Platform QA Engineer
Stack/tools: Next.js/React (SSR/hydration), full-stack web testing (APIs, databases), Python/Node.js logic, LLMs (OpenAI API, Ollama, local model orchestration), RAG pipelines, vector databases (Pinecone, Weaviate), prompt engineering, concurrency/race-condition testing, automation frameworks (Playwright, Cypress, PyTest); Jira/TestRail; Confluence
Ensure reliability, accuracy, and performance of the AI-based patent platform
Analyze Next.js code flows and validate complex LLM agentic workflows
Act as a quality gatekeeper, identifying architectural flaws before production
Deep frontend expertise in Next.js/React and browser tooling
API testing proficiency (Postman, curl) and understanding of Python/Node.js logic
Hands-on AI/LLM experience (OpenAI API, Ollama or local orchestration); proficiency with RAG pipelines and vector databases
Prompt engineering and ability to pinpoint issues in prompts and agentic logic
Testing mindset for concurrency, race conditions, and system-level failures
Proficiency with Jira/TestRail; exposure to Playwright, Cypress, or PyTest; Confluence experience
System breaker mindset; desire to stress-test beyond features
Ability to read code to locate likely bug hotspots
Quality advocacy; willingness to challenge implementations for quality/user experience
AI-curious; up-to-date on LLMs and
About the Company We are looking for a highly skilled Senior AI Platform QA Engineer to ensure the reliability, accuracy, and performance of our AI-based patent platform. You won't just follow test cases; you will "break" systems, analyze Next.js code flows, and validate complex LLM agentic workflows. This role requires a unique blend of Full-Stack technical QA (Next.js, APIs, Databases) and AI/LLM testing (RAG, Prompt Engineering, Hallucination detection). You will act as a quality gatekeeper, thinking like a developer to identify architectural flaws before they reach production.
About the Role We are looking for a highly skilled Senior AI Platform QA Engineer to ensure the reliability, accuracy, and performance of our AI-based patent platform. You won't just follow test cases; you will "break" systems, analyze Next.js code flows, and validate complex LLM agentic workflows.
Responsibilities Ensure the reliability, accuracy, and performance of our AI-based patent platform. Analyze Next.js code flows and validate complex LLM agentic workflows. Act as a quality gatekeeper, identifying architectural flaws before they reach production. Qualifications
Experience: 3–6 years in QA Engineering, with significant experience in Full-Stack web applications.
Required Skills
Frontend Mastery: Deep understanding of Next.js/React (SSR, hydration, client-side hooks) and Browser DevTools.
Backend & API: Expert at testing APIs (Postman, curl) and understanding Python/Node.js logic.
AI Knowledge: Hands-on experience with LLMs: OpenAI API, Ollama, or local model orchestration.
Vector Tech: RAG pipelines and vector databases (Pinecone, Weaviate, etc.).
Prompt Engineering: Ability to identify issues with prompts and agentic logic.
Testing Mindset: Proven ability to test for concurrency, race conditions, and system-level failures.
Tools: Proficiency in Jira/TestRail and exposure to automation frameworks like Playwright, Cypress, or PyTest. JIRA + Confluence exposure must.
Preferred Skills
You are a System Breaker: You don't just test features; you look for ways the system might fail under stress.
You Think Like a Developer: You can read code to understand where the bugs are likely hiding.
You are a Quality Advocate: You are comfortable challenging implementations when quality or user experience is at risk.
You are AI-Curious: You stay updated on the latest in LLMs and agentic frameworks.
Pay range and compensation package Opportunity to work at the intersection of Generative AI and LegalTech. A highly technical environment where QA is treated as an engineering discipline. Freedom to explore and implement new testing methodologies for AI.