Software Developer – Voice AI

🕒 Outubro 31, 2025

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Tucuvi

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

A Tucuvi é uma empresa de tecnologia na área da saúde que se especializa em soluções de IA para melhorar o cuidado com os pacientes. Seu produto principal, o LOLA®, é um agente de voz de IA clinicamente validado, projetado para melhorar a eficiência operacional das equipes de saúde enquanto garante o monitoramento de qualidade para os pacientes. A Tucuvi colabora com organizações de saúde de alto nível para implementar sua plataforma de voz clínica de IA em várias aplicações, incluindo monitoramento de sintomas ambulatoriais e acompanhamento, melhorando assim o engajamento do paciente e a qualidade do cuidado fornecido.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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…)