Our customer is working on something pretty cool — an AI Receptionist that picks up calls, understands what people want, and routes them to the right place. It’s all powered by real-time speech recognition (ASR), large language models (LLMs), text-to-speech (TTS), and SIP telephony — and it’s designed to feel as natural as talking to a real person.

We’re looking for a QA Engineer who’s excited to dive into this kind of challenge — someone who loves testing, gets how messy real phone calls can be, and wants to help build something that just works. You’ll be the quality gatekeeper, making sure every release is rock solid.

What you'll be doing:

• Test the Voice AI system by hand (this is 60–70% of the job), making sure it handles real-world calls like a pro.
• Write and refine test cases and acceptance criteria for new features.
• Catch bugs, edge cases, and weird call behavior — before users do.
• Help grow our test automation coverage (Python or TypeScript preferred).
• Collaborate with developers, AI engineers, and product managers to improve quality at every step.
• Monitor logs and troubleshoot using tools like Kibana, Grafana, and LogFusion.
• Keep the quality bar high — and push it higher.

What we're looking for:

• Solid manual testing experience, ideally in an Agile setup.
• Some experience writing automated tests (or strong interest in getting deeper into it).
• Familiarity with API (REST) and UI testing
• Basic SQL or NoSQL skills.
• You’re proactive, detail-oriented, and you don’t mind going down a rabbit hole to track a bug.
• Comfortable working independently, but also love being part of a tight team.

Nice-to-haves:

• You’ve played with AI tools — especially ASR, TTS, or LLMs — or you’re eager to learn more.
• Familiar with our stack: PostgreSQL, Kafka, TypeScript.
• WebSocket, gRPC understanding;
• Know your way around SIP call flows or telephony systems.
• CI/CD experience (Kubernetes, GitOps, Flux).