Software Developer – Voice AI

October 31

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Tucuvi

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Healthcare • Artificial Intelligence • SaaS

Tucuvi is a healthcare technology company that specializes in AI-powered solutions to improve patient care. Their flagship product, LOLA®, is a clinically validated voice AI agent designed to enhance the operational efficiency of healthcare teams while ensuring quality monitoring for patients. Tucuvi collaborates with top-tier healthcare organizations to deploy its AI Clinical Voice platform for various applications, including outpatient symptom monitoring and follow-up care, thereby improving patient engagement and the quality of care delivered.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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…)