Lead QA Engineer

Description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

What you'll be doing

Design the voice AI test strategy and process, from speech input through speech recognition (ASR), the LLM, tools and integrations, to speech output.

Define the automation approach and how it scales, including multilingual coverage of around 100 languages.

Test both predictable behaviour (intents, routing, integrations) and non-deterministic AI behaviour.

Evaluate prompts and LLM responses, using test datasets and scoring criteria.

Lead UAT: planning, scenarios, test data, coordination of business testers and sign-off recommendation.

Gather business acceptance criteria and turn them into measurable targets.

Own defect and risk management, and give release go/no-go recommendations.

Replan and communicate options when development is delayed.

Challenge stakeholders on readiness and quality, and mentor the Regular engineer.

Requirements

• At least 6 years of experience in software QA.
• At least 2 years of experience in testing voice agents or conversational AI in live delivery.
• Has led E2E and UAT, and worked as the lone or lead QA with limited guidance.
• Experience in international or distributed teams.
• Voice AI testing: speech recognition and speech output, latency, interruptions, accents, noise.
• Voice quality metrics such as word error rate, intent accuracy and task completion.
• Practical understanding of how LLMs work and fail. Deep LLM engineering is not needed.
• Test automation in Python or JavaScript/TypeScript, with CI/CD and API testing (e.g. Postman).
• Use of cloud speech services (Azure, Google, AWS or similar) to generate test calls.
• Practical experience with Jira or Azure DevOps, and a test management tool.
• Practical experience with troubleshooting from logs, transcripts and call recordings.
• Voice testing platforms (Hamming, Cekura, Coval, Botium) is a plus.
• Experience with LLM evaluation tools (Promptfoo, DeepEval, LangSmith) is a plus.
• Experience with Telephony basics (SIP, Twilio, Azure Communication Services) is a plus.
• ISTQB certification is a plus.
• Experience in Responsible-AI testing (PII, bias, safety) is a plus.
• Experience validating customer journeys across multiple markets is a plus.
• Structured, recommendation-first communication with technical and business stakeholders.
• English at least B2.

Benefits

• Stable employment .
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation . Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work certified employer .
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work . We trust your ideas.
• Create our community together . Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.