Audio AI Engineer at Propio

Overland Park, Kansas, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Audio Engineering, Speech Processing, Conversational AI, ASR, TTS, Streaming Audio Architectures, Python, ML Frameworks, Real-Time Signal Processing, Low-Latency Production Systems, Inference Performance, Interpretation Workflows, Multilingual Challenges, Speech Quality Metrics

Industry

Translation and Localization

Description

Description Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We’re committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries. We are hiring an Audio AI Engineer that will develop and optimize end-to-end systems that enable real-time, high-fidelity speech-to-speech interpretation at Propio. This role focuses on seamlessly connecting speech recognition, translation, and synthesis technologies to create natural, low-latency interpretation experiences. Key Responsibilities: Design and optimize end-to-end Speech-to-Speech pipelines that integrate ASR, translation, and TTS with minimal latency Build bidirectional interpretation systems that handle turn-taking, speaker identification, and context preservation across language boundaries Collaborate with the Audio/Speech Engineer to optimize latency, quality, and robustness of speech components in the full pipeline Work with the Staff ML Engineer to design efficient inference architectures and deployment strategies for real-time streaming systems Develop streaming ASR and TTS systems capable of handling continuous, overlapping speech in interpretation scenarios Benchmark and optimize latency across all pipeline stages (speech capture, recognition, translation, synthesis) Integrate speaker diarization, acoustic environment adaptation, and speech enhancement into interpretation workflows Partner with linguists and product teams to validate interpretation quality and gather domain-specific feedback Requirements Qualifications: Bachelor's or Master’s Degree in Electrical Engineering, Computer Science, or related field 3+ years of experience in speech processing, audio engineering, or conversational AI systems Deep expertise in ASR, TTS, and streaming audio architectures Proficiency in Python, ML frameworks, and experience with real-time signal processing Experience building low-latency production systems and optimizing for inference performance Strong understanding of interpretation workflows, multilingual challenges, and speech quality metrics Preferred Qualifications: Experience building speech-to-text pipelines or hybrid ASR + LLM systems Familiarity with real-time audio processing or latency-sensitive applications #LI-JS1

Responsibilities

The Audio AI Engineer will develop and optimize end-to-end systems for real-time, high-fidelity speech-to-speech interpretation. This role involves integrating speech recognition, translation, and synthesis technologies to create natural interpretation experiences.