Teams at Indium

Lead design and delivery of enterprise-grade AI automation: architect agentic AI and multi-agent systems, build RAG solutions, integrate AI agents with enterprise systems, define governance and HITL workflows, select foundation models, and mentor teams to deploy production-ready, secure, scalable AI automation.

Lead QA activities across the SDLC: create test scenarios, design and run manual and automated tests (UI, API, DB), build and maintain automation frameworks, integrate tests in CI/CD, validate databases with SQL, track defects, support production verification, and mentor junior QA engineers.

Lead design and implementation of enterprise test automation and quality engineering strategies. Build scalable automation frameworks for UI, API, integration, and end-to-end testing; integrate tests into CI/CD pipelines; promote shift-left practices; evaluate modern and AI-powered testing tools; monitor automation health; mentor QA teams and define quality roadmaps with stakeholders.