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6 дней назад

Forward-Deployed Engineer (AI Infrastructure)

215 000 - 260 000$
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
Forward-Deployed Engineer (AI Infrastructure): Building applications, automations, pipelines, and AI agents that help internal teams act faster and operate more reliably with an accent on full-stack engineering, data modeling, and stakeholder collaboration. Focus on embedding with teams, connecting governed data and source systems, deploying production tooling, and measuring adoption and operational impact.

Location: San Francisco, CA, United States; on-site

Salary: $215,000–$260,000 annually plus bonus and Restricted Stock Units

Company

hirify.global builds vertically integrated AI infrastructure spanning energy, manufacturing, data centers, and cloud services.

What you will do

  • Embed with internal stakeholder teams such as SRE, Finance, Sales, People Ops, or product groups to identify high-leverage workflows for improvement.
  • Build interactive applications with user interfaces, backend services, APIs, data layers, and write-back capabilities to systems of record.
  • Replace repetitive work with automated pipelines and AI agents that involve people when human judgment is required.
  • Own engagements end to end, from scoping and implementation through deployment, adoption measurement, and iteration.
  • Create reusable skills, integrations, and UI patterns for a shared engineering platform.
  • Ensure tooling is reliable, governed, access-controlled, and based on trusted sources of truth.

Requirements

  • 8+ years of experience building and owning production software.
  • Staff-level scope and judgment, including the ability to lead ambiguous greenfield work with limited direction.
  • Full-stack engineering experience across user-facing interfaces, backend services, APIs, and data layers.
  • Strong SQL and data modeling skills, with experience navigating data warehouses, pipelines, and data validation.
  • Product mindset and ability to translate manual processes into effective tools for non-engineering stakeholders.
  • Experience using AI-assisted development tools, LLM agents, and automation platforms with appropriate guardrails.

Nice to have

  • Experience as a forward-deployed, solutions, or embedded engineer.
  • BI or analytics engineering experience with Sigma, Looker, dbt, or Tableau.
  • Familiarity with Workato or n8n.
  • Experience with MCP, agent frameworks, or LLM tool use.
  • Experience in an early-stage environment with significant ambiguity.

Culture & Benefits

  • Competitive compensation, equity, and Restricted Stock Units.
  • Paid time off, holidays, leave programs, and paid parental leave.
  • Health, dental, vision, life, disability, and mental health benefits.
  • 401(k) plan with company matching up to 4% of salary, plus HSA contributions.
  • Professional development, tuition reimbursement, commuter benefits, and a cell phone stipend.
  • Global travel insurance, emergency assistance, volunteer time off, daily meal allowance, and location-specific programs.

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