Назад
1 день назад

Staff Forward Deployed Engineer (AI)

265 000 - 325 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Forward Deployed Engineer (AI): Architecting and deploying resilient large language model serving systems inside complex enterprise infrastructure with an accent on multi-tenant serving, multi-cluster failover, performance optimization, and custom hardware validation. Focus on benchmarking and profiling inference workloads, establishing production reliability and observability, and translating customer deployment challenges into platform improvements.

Location: United States; on-site. Base salary: $265,000–$325,000 in California, New York, and Washington; $240,000–$295,000 in other US states; C$340,000–C$415,000 in Canada, plus equity.

Company

Cohere is an enterprise AI company building foundation models and end-to-end products for real-world business applications.

What you will do

  • Embed with customer engineering teams to connect Cohere AI models to complex production environments.
  • Design multi-tenant model serving, intelligent routing, multi-cluster architectures, and cross-datacenter failover.
  • Optimize private and AI-in-a-box deployments across Kubernetes, SRE constraints, and model performance requirements.
  • Benchmark and profile customer LLM workloads, using metrics, dashboards, and distributed logs to diagnose performance degradation.
  • Support model deployment on GPUs, TPUs, AMD accelerators, and custom ASICs, and establish production SLOs and observability.
  • Translate customer deployment challenges into platform upgrades and core product improvements.

Requirements

  • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments.
  • Deep production Kubernetes expertise, including multi-cluster orchestration across hybrid and multi-cloud environments such as GCP, Azure, AWS, and OCI.
  • Strong understanding of LLM architecture and inference dynamics, including attention mechanisms, compute-bound prefill, and memory-bound decode phases.
  • Hands-on experience with inference engines and optimization stacks such as vLLM, TensorRT-LLM, lmd, or Dynamo.
  • Familiarity with distributed serving, prefill/decode disaggregation, distributed KV caching, and multi-GPU workloads.
  • Customer-facing technical leadership, including scoping ambiguous problems and guiding executive technical stakeholders.
  • Ability to write same-day production code while managing client deployment blockers and politics.
  • Strong programming foundations in Python, Go, or C++, with the ability to work across backend data pipelines and infrastructure tuning.

Culture & Benefits

  • Full health and dental coverage, mental health budget, RRSP matching, 401(k), and pension scheme.
  • 100% parental leave top-up for up to six months for either parent.
  • Six weeks of paid vacation and annual enrichment benefits covering arts and culture, fitness, quality time, and workspace improvements.
  • Education and learning stipend for conferences, courses, and coaching.
  • Weekly lunch stipend of $75/£75 or local equivalent, plus office lunch programs, snacks, and community events.
  • $500 home office stipend, coworking benefit, office travel budget, and annual company offsite.

Hiring process

  • Applicants may be screened and assessed using AI-enabled tools against the position criteria.
  • Accommodation requests can be submitted through the provided accommodations form.

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