Senior AI Engineer (AI/ML Inference)

Location: Vancouver, Canada; opportunity to be based in Canada Hub locations

Salary: $184,500–$213,750 CAD annual base salary for British Columbia, excluding bonus, equity, and benefits.

Company

hirify.global provides an AI customer-experience platform with real-time voice and digital AI agents that help organizations resolve customer problems and automate work.

What you will do

• Own the productionization of speech models and third-party capabilities by building APIs, services, deployment workflows, and integration layers.
• Deploy and operate self-hosted speech models, optimizing serving architecture, resource utilization, concurrency, autoscaling, and cost.
• Integrate third-party speech APIs with durable abstractions, failover, capacity planning, version management, and vendor-performance monitoring.
• Build monitoring, alerting, dashboards, health checks, and incident-response practices for uptime, latency, and quality SLAs.
• Enable shadow traffic, staged rollouts, model and artifact versioning, rollback-safe releases, and candidate-versus-incumbent comparisons.
• Partner with Speech, MLOps, platform, telephony, and product teams, while setting technical direction and mentoring engineers.

Requirements

• Strong software engineering fundamentals and proficiency in Python, with experience designing maintainable APIs, services, and integration layers.
• 5+ years of experience building or operating production software, including ML-backed systems, real-time services, speech applications, streaming media, or other latency-sensitive systems.
• Hands-on experience deploying, scaling, and troubleshooting ML models in production, including model serving, inference optimization, resource management, and safe version rollouts.
• Experience with cloud infrastructure and distributed systems, plus familiarity with containers, orchestration, service networking, CI/CD, and GCP.
• Strong understanding of observability, alerting, incident response, capacity planning, and availability and latency SLAs.
• Ability to collaborate with ML scientists, MLOps and inference engineers, and product teams, make pragmatic trade-offs, and mentor teammates.

Culture & Benefits

• Work on AI products for business communications and real-time customer experiences.
• Competitive salary and comprehensive benefits.
• Access to AI tools and a robust training program.
• Inclusive office environment focused on collaboration and connection.
• Opportunities for professional growth and technical influence.