Teams at Lingaro

Design, develop, and maintain Python backend services, RESTful and GraphQL APIs, microservices, and cloud solutions on Azure or GCP. Build CI/CD pipelines, automated testing workflows, and production Docker and Kubernetes deployments. Contribute to frontend development with JavaScript or TypeScript frameworks. Apply cloud architecture, database optimization, security, Agile collaboration, and generative AI patterns including RAG, embeddings, vector databases, and AI agents.

Execute end-to-end, API, integration, regression, and release testing for AI voice journeys across markets. Prepare test data, support UAT, extend automated suites, evaluate conversational AI behavior, document defects, and track them to resolution. The role requires software QA experience, voice or conversational AI testing, API testing, basic Python or JavaScript/TypeScript automation, and troubleshooting through logs and transcripts.

Lead QA strategy and automation for voice AI systems spanning speech recognition, LLMs, tools, integrations, and speech output. Own multilingual testing, deterministic and non-deterministic behavior evaluation, UAT, defect and risk management, release recommendations, and stakeholder communication. Mentor QA engineers and validate voice quality across accents, noise, latency, interruptions, customer journeys, and multiple markets.