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DialpadSr. AI Engineer (AI/ML Inference)
Dialpad operates as an artificial intelligence customer experience platform that assists organizations with real-time issue resolution across digital and voice channels. The company is currently looking…
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About This Role
Dialpad operates as an artificial intelligence customer experience platform that assists organizations with real-time issue resolution across digital and voice channels. The company is currently looking for a Senior AI Engineer to join their Speech Team as an embedded back-end specialist. In this position, you will take ownership of production systems that transform speech models and third-party tools into reliable features for AI voice agents. Your daily tasks will center…
Job Description
Dialpad operates as an artificial intelligence customer experience platform that assists organizations with real-time issue resolution across digital and voice channels. The company is currently looking for a Senior AI Engineer to join their Speech Team as an embedded back-end specialist.
In this position, you will take ownership of production systems that transform speech models and third-party tools into reliable features for AI voice agents. Your daily tasks will center around the intersection of product engineering, speech technology, and machine learning infrastructure. You will manage self-hosted inference, productionize models, connect external APIs, and establish operational foundations to support strict latency and uptime service level agreements.
This role is well-suited for professionals with a strong background in software engineering, streaming systems, or production machine learning who want to influence real-time voice operations at scale. You will report directly to the Senior Manager of AI Speech and collaborate extensively with the MLOps inference team, product units, platform groups, and telephony engineers.
Dialpad seeks individuals who demonstrate curiosity, scrappiness, persistence, empathy, and optimism. The organization values a vibrant office environment designed to foster teamwork and connection while integrating modern tools into daily workflows.
Responsibilities
- Manage the transition of speech models and third-party capabilities into production environments by creating APIs, integration layers, and deployment workflows.
- Operate and scale self-hosted speech models while optimizing serving architecture, resource usage, concurrency, and cost for real-time voice applications.
- Integrate external speech APIs using dependable abstractions that include vendor-performance monitoring, version management, and failover mechanisms.
- Implement monitoring tools, health checks, alerts, and incident-response procedures to satisfy customer-facing quality and uptime goals.
- Collaborate with engineering teams to support staged rollouts, shadow traffic, artifact versioning, and rollback-safe releases.
- Work alongside cross-functional groups to set technical strategy, guide teammates, and transform model updates into dependable production results.
Requirements
- Bring at least five years of experience building or running production software, which may include machine learning systems, streaming media, real-time services, or speech applications.
- Demonstrate strong software engineering fundamentals alongside proficiency in the Python programming language.
- Possess practical expertise in deploying, scaling, and troubleshooting machine learning models in production settings.
- Have hands-on familiarity with cloud infrastructure, distributed systems, containers, service networking, continuous integration and deployment, and GCP.
- Understand operational observability, alerting protocols, capacity planning, and availability service level agreements.
Qualifications
- Experience growing from a machine learning background into systems and back-end engineering.
Core Skills
Benefits
- Comprehensive benefits package
- Competitive salary opportunities
- Engagement with cutting-edge artificial intelligence tools and training programs
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
The posting indicates that this is a full-time position.
Is remote work permitted for this role?
The source states that the position offers the opportunity to be based in Canada Hub locations.
What is the salary range for this job?
For eligible talent based in British Columbia, Canada, the target base salary range is $173,400 to $219,300 CAD, excluding bonuses, equity, and benefits. Salary details for other locations are not specified in the posting.
Who will this engineer report to?
This position reports to the Senior Manager, AI Speech.
Sample Interview Questions
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