We're growing our team and looking for a Senior/Principal QA Engineer to own quality across our AI voice assistant: from prompt and agent behavior testing to mobile, TV, and backend.
Requirements
Senior / Principal, 5+ years of manual QA - a high level of ownership and self-direction: the ability to take on the project as a whole, be fully accountable for quality, and get up to speed on new things independently.
Experience testing AI agents / assistants: checking scenario and prompt following (prompt / instruction following), response quality and relevance.
Experience testing "under the hood" via AI observability / tracing tools (LangSmith and analogs): analyzing an agent's traces - tool calls, memory handling, the model that ran, inputs/outputs, token consumption, spotting bottlenecks.
Experience with mobile and/or TV-app testing; experience specifically with TV devices is less critical.
Experience testing backends and integrations: API testing (REST / gRPC), verifying the seams between services, reading logs and traces (Kibana / Grafana / Loki, etc.).
Solid QA fundamentals: test design, test documentation, defect handling.
Hands-on experience using AI tools in the day-to-day QA process.
Nice to have
Experience testing speech technologies (ASR / TTS) and working with audio.
Evals - building and running AI-assistant quality evaluations: scenario-based self-play, LLM-as-judge, manual validation as human-in-the-loop.
CI/CD / deployment / test environments: configuring stands, building and deploying applications (GitHub / GitLab, etc.).
Device testing experience / ADB.
Willingness to move into test automation over time.
Responsibilities
AI assistant:
Assessing assistant quality: prompt / instruction following, compliance with requirements; catching regressions between prompt and model versions.
Testing the assistant "under the hood" via observability / tracing tools: correctness and parameters of tool calls (MCP / integrations with external APIs), memory handling, the bot's reasoning, traces, etc.
Devices and applications:
End-to-end manual testing of the assistant in the mobile app and on the devices (TV, speaker).
Testing voice interaction with the assistant, recognition (ASR) and synthesis (TTS) quality, voice UX.
Testing the assistant's product scenarios: agentic e-commerce (voice order -> cart -> confirmation on TV via remote), media content and a movie showtimes guide, flight tickets, basic scenarios (weather, currency rates, time, timers, Q&A).
Platform:
Testing the platform / backend part the assistant runs on - a distributed backend of many services: dialog orchestration, LLM agent, ASR / TTS, etc.
Verifying the request's end-to-end path through these components, the correctness of integrations and the seams between services, working with backend logs and traces.
Process:
Maintaining test cases and bug reports.
Close collaboration with the team: TPM, Prompt Engineer, DEV, DevOps, ML.
First-line QA of critical scenarios ahead of demos.
What we offer
The team has built award-winning AI products for tech corporations - devices, voice assistants, products that are actually in the world
Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
Startup pace with enterprise stability - real clients, real revenue, no bureaucracy
Fully remote across Europe
21 vacation days + public holidays + 5 sick days
Private English lessons via Preply