Forward Deployed Engineer, Inference

Highlights

• Architect resilient model serving inside strategic enterprise data perimeters.
• Own ambiguous customer inference challenges end-to-end in the field.
• Translate field friction into core platform upgrades for frontier models.

What they offer

• Equity
• Separate budget for mental health
• RRSP matching, 401K, Pension Scheme
• 100% parental leave top-up for up to 6 months
• Annual enrichment benefits and workspace improvement credit
• Education and learning stipend for conferences, courses and coaching
• 6 weeks of paid vacation
• Annual company offsite and travel budget to other offices
• $500 home office stipend
• Daily lunch program, snacks and community events in office
• Co-working benefit for those not near an office

Ideal candidate

Seasoned infrastructure leader energized by ambiguous customer problems and bridging frontier AI to production reality. You thrive embedding with partners, steering executives, and driving resilient performance in complex enterprise environments.

Requirements

• 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
• Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI).
• Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance.
• Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo).
• Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
• Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders.