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Voice Engineer Jobs in Ontario (NOW HIRING)

Your role As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely ...

English Voice Coach Job Type: Contract Location: Remote Job Summary We are seeking native English ... Background in music, audio engineering, or sound production . * Experience in linguistics ...

Senior Software Engineer Location: Ontario (Hybrid - See "Hybrid Work Details" section below for ... Voices helps scale real voice solutions, across traditional voiceover, Voice AI, and ethically ...

Senior Software Engineer Location: Ontario (Hybrid - See "Hybrid Work Details" section below for ... Voices helps scale real voice solutions, across traditional voiceover, Voice AI, and ethically ...

Senior Software Engineer Location: Ontario (Hybrid - See "Hybrid Work Details" section below for ... Voices helps scale real voice solutions, across traditional voiceover, Voice AI, and ethically ...

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across model ...

We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona's voice and multimodal agents. You will own problems across model ...

Our engineering team operates with high autonomy and direct customer impact. We live by P.I.E ... It manages every interaction from request to resolution: voice and chat, 35+ languages, 24/7. SAM ...

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Senior Software Engineer, Inference

Toronto, ON · On-site

CA$190K - CA$225K/yr

The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small ... About the role: We're hiring a Software Engineer to help turn cutting-edge AI research into ...

Job Family: Engineering Astemo are focused on automotive components and systems. Our industry ... Be the voice of Astemo to suppliers and the voice of suppliers into Astemo for all related topics.

You may work on voice ordering, reservations, catering, restaurant operations, client configuration ... Strong software engineering fundamentals and experience shipping production web or platform ...

You may work on voice ordering, reservations, catering, restaurant operations, client configuration ... Strong software engineering fundamentals and experience shipping production web or platform ...

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Showing results 1-20

Voice Engineer information

See Ontario salary details

$46.5K

$97.5K

$156.5K

How much do voice engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for voice engineer in Ontario is $97,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a voice engineer?

A voice engineer manages the telecommunication systems for a company or other organization. As a voice engineer, you may work heavily with voice over internet protocols (VoIP). In these positions, your title may change to VoIP engineer. Your responsibilities center on quality control with the implementation of new hardware or systems and troubleshooting any issues that arise. Your daily duties typically include installation, customization, maintenance, and repair of telecommunication systems. It’s important to stay abreast of technology trends, especially regarding cybersecurity. Some positions are customer-facing, which require excellent verbal communication skills. This is especially true if you work for a third party IT company. Critical thinking is also essential for creating solutions.

What is a voice engineer?

A Voice Engineer is an IT professional who designs, implements, and manages voice communication systems, such as VoIP (Voice over Internet Protocol) and traditional telephony networks. They are responsible for ensuring the reliability, security, and quality of voice communication services within an organization. Their duties often include configuring call routing, troubleshooting voice issues, and maintaining related hardware and software. Voice Engineers work closely with network engineers and support teams to provide seamless voice communication solutions.

How does a voice engineer typically collaborate with other IT teams to ensure seamless communication systems?

Voice Engineers often work closely with network, security, and support teams to design, implement, and maintain unified communications infrastructure. They frequently coordinate with network engineers to ensure voice traffic is prioritized and troubleshoot quality issues. Collaboration with cybersecurity teams is also essential to safeguard VoIP systems against threats. Regular communication with help desk and end-user support teams helps Voice Engineers address user concerns and improve service reliability.

What are the key skills and qualifications needed to thrive as a voice engineer, and why are they important?

To thrive as a Voice Engineer, you need expertise in telephony systems, VoIP technologies, and network protocols, often supported by a degree in computer science or a related field. Familiarity with tools like Cisco Unified Communications, SIP, QoS, and relevant certifications such as CCNA Collaboration or CCNP Voice is highly valuable. Strong problem-solving skills, attention to detail, and effective communication enable you to address complex technical issues and collaborate with stakeholders. These skills ensure reliable voice infrastructure, minimize downtime, and support seamless business communications.

What is the difference between Voice Engineer vs VoIP Engineer?

AspectVoice EngineerVoIP Engineer
CertificationsCCNA Voice, CCNP CollaborationCCNA Voice, CCNP Collaboration
Work EnvironmentTelecommunications, enterprise networksInternet Protocol networks, enterprise systems
Industry UsageTelecom providers, large corporationsIT firms, service providers
Job FocusDesigning and maintaining voice communication systemsImplementing and managing VoIP solutions

Voice Engineers and VoIP Engineers often share certifications and work environments, focusing on voice communication systems. While Voice Engineers may concentrate more on traditional telephony and hardware, VoIP Engineers specialize in internet-based voice solutions. Both roles are essential in modern communication infrastructure, with overlapping skills but different primary focuses.

Are voice engineers in demand?

Voice engineers are in demand due to the growth of VoIP, unified communications, and cloud-based voice solutions. They typically require skills in networking, telephony systems, and certifications such as CCNA or CCNP, making their expertise valuable in many organizations seeking reliable voice infrastructure.

What are popular job titles related to Voice Engineer jobs in Ontario?

For Voice Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Voice Engineer jobs in Ontario look for?

The top searched job categories for Voice Engineer jobs in Ontario are:

Infographic showing various Voice Engineer job openings in Ontario as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,485 per year, or $46.9 per hour.

AI Engineer, Agentic Voice (TTS)

Dialpad

Kitchener, ON

Full-time

Re-posted 15 days ago


Job description

Your role
As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely within our Speech Team, a high-impact R&D and engineering group focused on speech recognition, enhancement, and synthesis; bridging core speech science and product engineering so our agents sound human, context-aware, and trustworthy.

You'll build the systems that render voice: integrating and optimizing TTS engines, engineering the persona and parameter machinery, and exposing voice attributes to our customer-facing UI. You'll partner closely with our Voice Experience Designer, who authors and owns the persona standards and quality bar that you implement - you own the platform that makes their designs real, fast, and consistent at scale.

This position reports to our Senior Manager, AI Speech, is based at our Kitchener hub, and operates on a hybrid schedule.

What you'll do

  • TTS backend implementation: Own the integration and optimization of multiple TTS vendor APIs behind a unified interface with failover, and lead research and prototyping of open-source and in-house TTS architectures.
  • Latency & pipeline engineering: Minimize time-to-first-audio and end-to-end latency across the ASR LLM TTS pipeline while maintaining or optimizing voice quality, in partnership with ASR and Audio AI engineers.
  • Linguistic optimization: Apply your knowledge of phonetics and sociolinguistics to format TTS input for maximum naturalness - SSML tags, punctuation-driven prosody, and text normalization for names, numbers, dates, and currency.
  • Persona system & parameter exposure: Build the persona parameterization system and architect the logic that exposes voice attributes to the product UI, implementing the house standards defined by Agent Experience Design.
  • Prompt engineering as code: Manage structured LLM and TTS prompt templates with versioning and a rigorous evaluation harness.
  • Conversational turn design: Engineer context- and state-aware "thinking" utterances that maintain caller trust while tool calls and model steps run under the hood.

Skills you'll bring

  • Technical foundation: Strong Python and hands-on experience with deep learning frameworks (e.g. PyTorch).
  • Speech expertise: 3+ years in Speech Synthesis (TTS) or applied speech ML, including hands-on work with frameworks like NVIDIA NeMo, ESPnet, or Coqui, and with major TTS APIs such as ElevenLabs, Rime, and Cartesia.
  • Linguistic background: Degree in Computational Linguistics, Computer Science, or AI/ML, with a strong understanding of phonetics, prosody, and syntax you can apply in code (G2P, pronunciation dictionaries, text normalization).
  • Backend engineering: Experience building production-grade APIs and integrating multi-vendor services in a cloud environment (GCP preferred).
  • Evaluation mindset: Fluency with speech-quality metrics (MOS, intelligibility, latency) and the ability to design and execute rigorous A/B tests for voice personas.
  • Prompt engineering: Proven experience crafting, versioning, and evaluating LLM prompts (system, few-shot) and structured templates.

This is a builder role in a science/infrastructure org. If your strength is conversation design or prompt-tuning without production engineering, our Lead Voice Experience (VX) Designer
role is likely the better fit.