Staff Engineer (AI)

Location: Vancouver, Canada; hybrid with at least 3 days onsite per week

Salary: CAD $171,000–$257,000 per year, with potential additional compensation including a sign-on bonus, RSUs, and discretionary awards.

Company

hirify.global develops the hirify.global Cloud Platform for AI, enabling organizations to build, fine-tune, and run generative AI, large language model, and agentic AI applications across on-premises data centers, edge locations, and public clouds.

What you will do

• Architect, design, and develop scalable, containerized, fault-tolerant services on Kubernetes for enterprise AI and LLM workloads.
• Build and operate high-performance inference and platform services supporting low-latency, high-throughput generative AI and agentic AI applications.
• Design distributed systems, storage, networking, virtualization, and other low-level infrastructure components across on-premises, cloud, and hybrid environments.
• Implement multi-tenant services, observability architectures, CI/CD pipelines, and deployment automation.
• Develop foundational LLM serving capabilities including request routing, rate limiting, token streaming, load balancing, quota management, and usage budgeting.
• Diagnose production issues, improve reliability and operational efficiency, review designs and code, and collaborate with product management, AI, and software engineering teams.

Requirements

• 8+ years of experience developing maintainable, resilient, long-lived software products in a product development organization.
• Strong computer science fundamentals in data structures, algorithms, operating systems, networking, and distributed systems.
• Hands-on experience with Docker, Kubernetes, cloud-native architectures, and backend development using Go, Python, C++, or Rust.
• Experience building CI/CD pipelines, release automation, multi-tenant services, and software for on-premises, cloud, and hybrid environments.
• Experience diagnosing production performance issues with tools such as Prometheus, Grafana, Datadog, or OpenTelemetry, plus familiarity with LLM serving and modern LLM concepts.
• Master's degree in Computer Science or equivalent practical experience, with strong communication and collaboration skills.

Nice to have

• Experience with PyTorch, TensorFlow, GPU acceleration, vLLM, DeepSpeed, Hugging Face TGI, or Triton.
• Experience with retrieval-augmented generation, vector databases, AI orchestration frameworks, production LLM APIs, or agentic systems.
• Open-source contributions or experience working in large distributed codebases.

Culture & Benefits

• Hybrid work combining remote flexibility with in-office collaboration; employees in applicable locations work onsite at least 3 days per week.
• RRSP with dollar-for-dollar matching up to 7% of base salary.
• Mental health coverage and paramedical benefits.
• Fully paid maternity and parental leave, plus bereavement leave.
• RSUs and an Employee Stock Purchase Plan with a 15% discount.