Senior Audio Intelligence Engineer (Real-Time AI)

Vivint; Washington (Washington County); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical, vision, dental

401K

Job summary

NRG Energy in Seattle is seeking a Sr Audio Intelligence Engineer to design and deploy real-time speech and audio AI across smart-home devices. You will innovate with STT, TTS, and multimodal models, delivering scalable, low-latency experiences while safeguarding privacy and safety.

The role requires a strong background in Python, ML engineering, and production deployment. You’ll work in a hybrid in-office schedule, collaborating across teams and driving impactful customer outcomes.

Qualifications

• Experience with speech-to-text, text-to-speech, or conversational AI systems.
• Strong Python software engineering skills.
• Experience integrating LLMs or multimodal models into production.
• Familiarity with prompt engineering, evaluation, latency optimization, and cloud AI services.
• Experience with Git, CI/CD, production monitoring, and cross-functional product collaboration.

Responsibilities

• Design and build conversational and audio AI experiences using STT, TTS, LLMs, audio understanding, and multimodal context.
• Optimize latency, reliability, privacy, grounding, and user experience for real-time interactions.
• Build evaluation frameworks for conversational quality, task completion, audio understanding, customer satisfaction, and safety.
• Integrate audio intelligence with agentic tool use, memory, personalization, and smart-home context.
• Evaluate and benchmark emerging speech, audio, and multimodal AI technologies.
• Deploy and monitor production audio and conversational AI services at scale.

Skills

STT/ASR experience

Python

LLMs / multimodal models

Git / CI/CD

Cloud AI services

Education

Bachelor's degree in CS/AI/related field

Master's degree in CS/AI/related field

Tools

Docker

Kubernetes

GCP/AWS

Job description

NRG Energy in Seattle is seeking a Sr Audio Intelligence Engineer to design and deploy real-time speech and audio AI across smart-home devices. You will innovate with STT, TTS, and multimodal models, delivering scalable, low-latency experiences while safeguarding privacy and safety.

The role requires a strong background in Python, ML engineering, and production deployment. You’ll work in a hybrid in-office schedule, collaborating across teams and driving impactful customer outcomes.