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6 дней назад

Forward Deployed Engineer (AI)

150 000 - 195 000$
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

Текст:
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TL;DR
Forward Deployed Engineer (AI): Owning technical wins for enterprise AI inference deployments through reproducible benchmarks, provider bake-offs, hardware tuning, and production readiness with an accent on performance evaluation, cost modeling, and customer-facing engineering. Focus on designing benchmark harnesses, optimizing model-to-hardware deployments, handling security and compliance reviews, and converting deployment knowledge into reusable technical assets.

Location: Palo Alto, CA, USA; in-office

Salary: $150,000–$195,000 per year

Company

hirify.global builds infrastructure for using modern AI models in production at scale, with a focus on reliable AI inference.

What you will do

  • Own enterprise technical wins and proof-of-concept timelines in partnership with Sales and Engineering.
  • Design reproducible benchmark harnesses covering TTFT, ITL, throughput per GPU, p95/p99 latency, and quality parity.
  • Run head-to-head evaluations against leading AI providers and tune model-to-hardware deployments on B200, B300, and GB300 NVL72 systems.
  • Build cost-per-token models, write migration plans, and support enterprise security and compliance reviews.
  • Drive deployment launch readiness, post-signature account health, usage reviews, and expansion.
  • Create reusable benchmark reports, reference architectures, and enablement materials.

Requirements

  • Customer-facing engineering experience with an owned technical outcome at an infrastructure or ML platform company.
  • Strong Python skills.
  • Ability to communicate credibly with staff engineers, CFOs, Sales, procurement, and engineering stakeholders.
  • Commercial judgment and the ability to distinguish technical objections from procurement objections.
  • Ability to work in the Palo Alto office.

Nice to have

  • Experience with vLLM, SGLang, TRT-LLM, batching, KV-cache calculations, or quantization.
  • Experience with agentic or coding-assistant workloads at scale.
  • Experience with long-context workloads, diffusion image/video, ASR/TTS, or multi-LoRA serving.
  • Open-source contributions to vLLM or SGLang.
  • Deep NVLink or InfiniBand topology knowledge.

Culture & Benefits

  • Opportunity to define the Forward Deployed Engineering function from its beginning.
  • Direct collaboration with co-founders and the inference engineering team.
  • Small, high-performing environment focused on initiative, drive, and grit.
  • Work on enterprise adoption of leading open-source AI models.
  • Full-time, in-office role with a base salary of $150,000–$195,000 per year.

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