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Natera

Software Engineer III, Voice AI

Reposted Yesterday
Remote
Hiring Remotely in US
106K-132K Annually
Senior level
Remote
Hiring Remotely in US
106K-132K Annually
Senior level
The Software Engineer III - Voice AI develops and maintains the Voice AI platform for patient calls, optimizing real-time conversational AI features and mentoring team members.
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Position Summary

Are you ready to make a real impact on people's lives and be part of a rapidly-growing team? Natera is seeking a Software Engineer III to help design, develop, and maintain our Voice AI platform. This platform handles thousands of patient calls daily, providing automated test status, identity verification, billing support, and intelligent routing — directly improving patient access to their genetic testing results. Join us in our mission to change the way disease is managed, and be a part of a dedicated group of professionals who are passionate about making a difference.


The Software Engineer III – Voice AI is responsible for building and maintaining the real-time conversational AI systems that power Natera's automated patient call center. This role requires strong expertise in TypeScript and Node.js, hands-on experience with voice AI pipelines (STT, LLM orchestration, TTS), and familiarity with telephony systems, agentic architectures, and event-driven design. You should be comfortable working with real-time audio streaming, WebSocket protocols, and the unique latency and UX challenges of voice-based AI. You'll collaborate with cross-functional teams in a fast-paced environment to ship features that measurably improve call efficacy and patient satisfaction.


Primary ResponsibilitiesLead
  • 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.

Manage
  • 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.

Nurture
  • 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.

Collaborate
  • 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.

Effect Change
  • 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.


Qualifications
  • 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.


Knowledge, Skills, and Abilities
  • Node.js/TypeScript: Proficiency with frameworks such as NestJS or Express; strong async/await and streaming patterns.

  • Voice AI Pipeline: Understanding of end-to-end voice flow — telephony ingress, STT transcription, LLM processing, TTS synthesis, audio egress.

  • Agentic Architecture: Experience with multi-agent systems, tool calling (OpenAI function calling, @openai/agents SDK or equivalent), agent handoffs, and conversation memory.

  • Telephony: Twilio media streams, WebSocket audio streaming, SIP, IVR routing, call recording.

  • LLM Integration: OpenAI Realtime API, Anthropic Claude, prompt engineering for conversational agents, structured outputs.

  • Database Technologies: Strong SQL skills (MySQL) and exposure to NoSQL (DynamoDB, Redis/ElastiCache).

  • AWS: ECS Fargate, Lambda, DynamoDB, S3, Kafka/MSK, API Gateway, Bedrock, CDK.

  • Event Streaming: Apache Kafka for analytics pipelines; SQS for job queuing.

  • Authentication: Okta JWT flows, OAuth2 client credentials, service-to-service auth patterns.

  • Containerization: Docker, ECS task definitions, Fargate deployment.

  • CI/CD: GitLab (or other pipelines) for continuous integration and deployment.

  • Testing & QA: Familiarity with frameworks like Jest; experience testing conversational systems (transcript validation, simulated call flows).

  • System Monitoring & Troubleshooting: Datadog APM, LLM Observability, or equivalent tools for latency tracking and voice pipeline health.

  • Compliance: Awareness of HIPAA requirements for voice systems — PHI handling, zero-retention patterns, encrypted storage.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$105,700$132,100 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents. 

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams 
- FBI Cyber Crime resource page 

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