Senior qa lead

24 hours ago

belgaum, India Katonic AI Full time

Experience: 10+ Years Job Type: Full-time About Katonic:  We are a young, Aussie Generative AI startup headquartered in Sydney, Australia. Job Description: We are seeking a highly experienced Senior QA Lead / QA Manager with 10+ years in quality engineering to own and drive the QA strategy for our enterprise-grade Gen AI and MLOps platform. This platform includes LLM-based chatbots, knowledge search and retrieval, web search integration, text and document processing, image processing, connector integrations, persona and brand voice configurations, multi-tenant operations, model fine-tuning, GPU-based LLM deployments, and API-based chatbot interfaces. The ideal candidate will lead QA teams, define scalable test processes, and ensure end-to-end reliability, performance, and security across all AI/ML and platform components.Key Responsibilities:Lead and manage the QA team, establishing QA strategy, processes, and governance.Design comprehensive test plans for Gen AI features, including enterprise chatbot, RAG search, Ask-AI modules, guardrails, persona/brand voice workflows, and multimodal pipelines.Validate ML workflows such as embedding generation, model fine-tuning, LLM deployments on GPU, GPU slicing, resource allocation, and model lifecycle management.Test platform components: tenancy management, connectors, integrations, microservices, and multi-tenant Saa S modules.Build and maintain automation for UI, API, backend services, and ML pipelines (functional, regression, integration, and E2 E).Perform performance, scalability, and load testing for chat-based and API-driven systems.Validate , Streamlit, Gradio, and Dash applications for stability and compatibility.Ensure quality coverage for document, text, image, and tabular data processing features.Collaborate with Engineering, AI/ML, and Dev Ops teams to ensure high-quality releases.Drive root-cause analysis, defect management, and continuous improvements across the QA lifecycle.Required Skills:10+ years of QA experience with at least 3–5 years in a lead or managerial role.Strong experience testing Gen AI/ML systems, including LLMs, embeddings, RAG pipelines, and multimodal processing.Hands-on automation expertise using Selenium, Playwright, Cypress, Pytest, Robot Framework, or similar.Strong API testing experience (Postman, Rest Assured, Playwright API, JMeter).Knowledge of Python, , or other scripting languages for test automation.Familiarity with GPU-based model deployment, Docker, Kubernetes, and cloud platforms.Experience testing multi-tenant Saa S applications, microservices, and real-time chat APIs.Strong analytical and debugging skills, with an ability to work closely with cross-functional teams.Preferred Skills:Experience with MLflow, Kubeflow, or other MLOps tools.Knowledge of vector databases (FAISS, Pinecone, Chroma, Weaviate).Experience with guardrails frameworks (Ne Mo Guardrails, Guardrails AI, etc.).Exposure to GPU orchestration, v LLM, Triton, or Hugging Face model servers.What We Offer:Opportunity to lead QA for a cutting-edge Gen AI & MLOps ecosystem.Work with advanced LLMs, GPUs, embeddings, and multimodal AI technologies.Collaborative environment with engineering, AI/ML research, Dev Ops, and product teams.100% work from home"Please apply only if you match the criteria." To apply, please fill out this form here:  U Without filling out the form, your application is not complete.

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