Software Engineer III, Voice AI

🕒 Julho 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.700 - $132.100 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Natera

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2004

🏥 Saúde

🧬 Biotecnologia

⚕️ Seguro de Saúde

Healthcare • Biotechnology • Healthcare Insurance

A Natera é líder global em tecnologia de testes de DNA livre de células (cfDNA), especializada em testes e diagnósticos genéticos não invasivos. As soluções inovadoras da empresa concentram-se em áreas como triagem pré-natal, detecção de câncer e monitoramento de transplantes de órgãos. Ao utilizar bioinformática avançada e análise de DNA, a Natera oferece a profissionais de saúde e pacientes informações essenciais para decisões médicas mais embasadas.

Descrição

• Take ownership of assigned voice AI features and components, guiding them through the full software development lifecycle. • Contribute to design discussions, code reviews, and best practice adoption within the Voice AI team. • Drive technical decisions on voice pipeline optimization — VAD tuning, turn-taking, interruption handling, and latency management. • Plan and prioritize tasks in an Agile environment, ensuring timely and high-quality delivery. • Work with Product Managers and stakeholders to refine requirements and scope technical efforts for conversational AI features. • Monitor voice platform health metrics (call efficacy, ASR accuracy, per-segment latency) and prioritize improvements based on data. • Mentor junior team members, sharing knowledge and best practices in voice AI architecture, TypeScript, and real-time systems. • Encourage a culture of continuous learning and technical excellence through pair programming and design reviews. • Document voice AI patterns, integration contracts, and operational runbooks for the team. • Partner with Product Managers, QA, and clinical operations to gather requirements, validate conversational designs, and guide projects from inception to deployment. • Coordinate with other engineering teams to integrate voice agents with internal services via authenticated APIs. • Work with the analytics team to ensure voice metrics flow correctly through the data pipeline for reporting and optimization. • Drive improvements in our multi-agent orchestration approach — tool calling patterns, agent handoff logic, and state management across conversation turns. • Advocate for high-quality standards and automated testing strategies for conversational AI systems, including voice-specific test patterns (simulated calls, transcript validation, latency benchmarks). • Identify and resolve voice-specific UX issues: ASR errors on medical terminology, silence detection tuning, barge-in recovery, and end-to-end response latency.

🎯 Requisitos

• 5+ years of overall software development experience, focusing on scalable backend services using Node.js and TypeScript. • 1+ years of experience with voice AI, conversational AI, or real-time audio systems in production. • Hands-on experience with agentic LLM architectures — tool calling, multi-agent orchestration, prompt engineering, and conversation state management. • Familiarity with voice AI pipeline components: STT (Deepgram, Azure Speech, OpenAI Whisper), TTS (ElevenLabs, OpenAI, Cartesia), and LLM APIs (OpenAI Realtime API, Anthropic Claude). • Experience with telephony systems — Twilio (media streams, SIP, IVR) or equivalent WebSocket-based audio streaming platforms. • Understanding of voice-specific challenges: VAD configuration, turn-taking, interruption handling, latency budgets, and audio codec management (mulaw/PCM). • Solid understanding of the software development lifecycle (SDLC), including build, configuration, release, and deployment. • Knowledge of microservice architecture and distributed systems best practices. • Proficiency with AWS services (ECS Fargate, Lambda, DynamoDB, S3, Kafka/MSK, API Gateway). • Experience with event-driven architecture and message processing (e.g., Apache Kafka, SQS). • Strong relational database skills (MySQL) and exposure to NoSQL databases (DynamoDB, Redis). • Demonstrated teamwork skills and a collaborative mindset. • Excellent communication and organizational skills. • Experience with RAG architectures (AWS Bedrock, vector stores, embedding models) is a plus.

🏖️ Benefícios

• Health insurance • 401(k) benefits • Paid time off • Flexible working hours • Pregnancy and baby bonding leave • Free testing for employees and their families • Commuter benefits • Employee referral program