Software Developer – Voice AI

🕒 il y a 7 mois

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Tucuvi

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

Tucuvi est une entreprise de technologies de santé spécialisée dans des solutions d'IA pour améliorer la prise en charge des patients. Son produit phare, LOLA®, est un agent vocal d'IA cliniquement validé, conçu pour accroître l'efficacité opérationnelle des équipes de soins tout en garantissant un suivi de qualité des patients. Tucuvi collabore avec des organisations de santé de premier plan pour déployer sa plateforme de Voice AI clinique dans divers cas d'usage, notamment le suivi des symptômes en ambulatoire et le suivi post-prise en charge, améliorant ainsi l'engagement des patients et la qualité des soins délivrés.

Description

• Design and develop scalable, low-latency systems capable of handling high-concurrency workloads in real-time voice or multimodal scenarios. • Develop and maintain APIs and services that integrate LLMs and AI features into production environments. • Contribute to our internal AI serving strategy, helping us adopt open-source model-serving and MLOps tools. • Architect and maintain cloud-native backends (GCP) integrating Pub/Sub, Cloud Run, Firestore, and monitoring/alerting tools (Prometheus, Grafana, OpenTelemetry). • Build and optimize ETL and streaming pipelines, ensuring data consistency, observability, and compliance.

🎯 Exigences

• 3+ years of professional experience as a Software Engineer or AI Engineer, ideally in Conversational AI or real-time systems. • Proven experience deploying and maintaining AI or LLM-based features in production, with a strong focus on scalability, low latency, and observability. • Strong Python skills, including async programming, clean architectures (Hexagonal, DDD), and testing (Pytest). • Solid understanding of real-time pipelines and low-latency architectures, ideally involving streaming voice or multimodal interaction (LiveKit, WebRTC, etc.). • Expertise with Google Cloud Platform (GCP) and monitoring/alerting tools (Prometheus, Grafana, OpenTelemetry). • Hands-on experience with containerized environments (Docker, Kubernetes) and GitLab CI/CD for automated testing and deployments. • Familiarity with Speech-to-Text (STT) and Text-to-Speech (TTS) engines (Whisper, Deepgram, Google Speech, ElevenLabs). • Fluent in Spanish and English, both written and spoken.

🏖️ Avantages

• Fix and variable salary • Flexible benefits through Cobee (ticket restaurant, transport, nursery...) • Remote work in an async environment. • Flexible working hours. • Teambuildings three times per year. • 23 days per year + your birthday + 6 local and regional holidays • Budget for training and personal development. • A laptop (Mac) + the equipment that you need (screen…)