Senior/Lead Quality Engineer - Chatbot

Job description

What we are building Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Visit our Career Page to learn more. Your mission We are looking for a Quality Engineer to help us build a faster, and more reliable testing and release processes for one of our latest product engineering teams. You will work closely with Software and Machine Learning Engineers to establish the quality foundations for a product characterised by dynamic, non-deterministic outputs. The team is a newly formed multidisciplinary team of 5 responsible for the conversational AI components across our WebApp. As the team’s founding Quality Engineer, you will play a central role in defining how we approach quality from the outset. You will introduce thoughtful, pragmatic practices that increase confidence in releases, reduce remediation and rollback work, and enable the team to move quickly without compromising user trust or product reliability. You will have meaningful ownership from day one: exploring testing approaches, identifying quality gaps, and helping shape the systems and processes that support sustainable delivery. This is an opportunity for someone who thrives in ambiguity, combines hands-on technical testing with experimentation, and wants to define quality engineering at the intersection of software development and LLM-powered products. Part of your day-to-day Develop and evolve quality practices, test strategy, and release processes for the Chatbot product. Help establish and run an output-evaluation framework for assessing Chatbot quality, reliability, and regressions. Test dynamic and non-deterministic LLM-based systems, designing pragmatic approaches for validating behaviour beyond conventional deterministic test cases. Identify, test, and improve guardrails for AI-specific risks, including prompt-injection scenarios and unsafe or unexpected model behaviour. Partner with engi…