> Markdown version of [/jobs/ext/1995225-sr-software-engineer-audio-intelligence](https://www.wearedevelopers.com/jobs/ext/1995225-sr-software-engineer-audio-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr Software Engineer, Audio Intelligence

- **Company:** NRG Energy, Inc
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Artificial Intelligence, Amazon Web Services, Continuous Integration, Python (Programming Language), Linux System Administration, Machine Learning, Software Engineering, Data Streaming, Systems Integration, Speech Recognition, Google Cloud, Large Language Models, Prompt Engineering, Git, Build Management, AI Platforms, Kubernetes, Information Technology, Low Latency, Speech Synthesis, Natural Language Understanding, Docker
- **Published:** August 8, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17874796?backUrl=%2Fcareer%2F17874796%2FSr-Software-Engineer-Audio-Intelligence-Washington

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
 * Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
 * Experience with speech-to-text, text-to-speech, audio understanding, or conversational AI systems
 * Strong Python software engineering skills
 * Experience integrating LLMs or multimodal models into production applications
 * Familiarity with prompt engineering, evaluation, conversation design, latency optimization, and cloud AI services
 * Experience with Git, CI/CD, production monitoring, and cross-functional product collaboration

Preferred Qualifications:

 * Experience with wake word, streaming audio, real-time inference, ASR/NLU frameworks, or ambient sound classification
 * Experience building consumer-facing voice, assistant, smart-home, or conversational products
 * Familiarity with edge AI, embedded devices, IoT, Linux-based systems, or hybrid edge/cloud architectures
 * Experience with privacy-aware audio systems, grounding, safety, and customer-trust mechanisms
 * Experience with Docker, Kubernetes, GCP/AWS, or scalable AI service deployment

## Description

We are seeking a Sr Audio Intelligence Engineer to build conversational and audio AI experiences for the smart home. This role will develop real-time speech, audio understanding, and multimodal interaction systems across mobile, panel, camera, and future agentic experiences. In this role, you will be responsible to:

 * 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.


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Raise your voice!](https://www.wearedevelopers.com/videos/10-raise-your-voice)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)