Diabolocom

www.diabolocom.com

1 Job

129 Employees

About the Company

For over 20 years, Diabolocom has been transforming how businesses engage with customers. Our cloud-based Contact Center as a Service (CCaaS) solution, powered by proprietary generative AI, delivers exactly what today’s customer service and sales teams need—intelligent automation, enhanced reachability, and actionable insights.

From real-time call transcription to satisfaction analysis and next-best-action guidance, our AI Assistant seamlessly integrates into every customer interaction, driving faster resolutions. What sets Diabolocom apart is our native AI for CX combined with full telecom services, creating a unique solution for hyper-customized customer interactions and telephony management. By automating the mundane, your teams can focus on what matters: winning customer loyalty and driving growth.

We seamlessly integrate with leading CRMs like Salesforce, Oracle, and Microsoft, giving your teams complete visibility into every conversation and enabling you to accelerate business growth.

That’s why industry leaders like Mitsubishi Electric, Nikon, Mantrac Group, and Brinks trust Diabolocom to deliver exceptional customer experiences that set them apart. Our AI-driven platform reduces post-call processing by 97% and slashes churn by 12%. The result? More satisfied customers and a more proactive, agile team.

Ready to challenge the norm? Join global brands transforming customer relationships in over 60 countries with Diabolocom.

Learn more about Diabolocom: https://www.diabolocom.com/

Listed Jobs

Company Name: Diabolocom
Job Title: AI QA Automation Engineer
Job Description: **Job title:** AI QA Automation Engineer **Role Summary:** Develop, maintain, and advance QA automation for AI/ML products and cloud contact‑center solutions, ensuring reliability, performance, and safety of AI models, APIs, and data pipelines. **Expectations:** - Deliver robust test frameworks and coverage for AI-driven features. - Collaborate with R&D, AI engineers, and product teams to validate data quality and inference outputs. - Lead performance, load, and SLA/SLO assessment of AI services. - Produce documentation and run tests on CI/CD pipelines. **Key Responsibilities:** - Build and maintain automation frameworks using PyTest, TypeScript, Playwright, k6. - Design and execute load/stress tests; analyze results with statistical methods. - Profile Python (and optionally C++) applications to locate bottlenecks. - Create test strategies for AI/ML pipelines, including fuzzing and LLM behavior tests (prompt injection, misuse, anomaly detection). - Integrate tests into CI/CD and monitor real‑time metrics. - Estimate and validate SLA/SLO for AI services. - Work with data scientists on dataset quality, model inference, and result verification. - Collaborate with product managers and stakeholders to define acceptance criteria. - Document test plans, cases, and results; contribute to knowledge base. **Required Skills:** - ≥5 years of QA/SDET experience. - Proficiency in Python, TypeScript, PyTest, Playwright, k6. - Advanced knowledge of load/stress testing, statistical analysis, and performance profiling. - Experience testing AI/ML models or complex pipelines; familiarity with LLM testing concepts. - Strong Linux environment usage; audio data formats and protocols (preferred). - Ability to measure and estimate SLAs/SLOs. - Excellent written and spoken English; strong communication in multicultural settings. - Analytical, detail‑oriented, and proactive ownership of quality. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience). - No mandatory certifications, but knowledge of AI/ML testing frameworks or performance testing tools is advantageous.