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6 часов назад

Forward Deployed AI Engineer (LLM)

200 000 - 250 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
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 AI Engineer (LLM): Building and scaling hirify.global’s internal AI platform and shared capabilities across GTM and G&A teams with an accent on agentic systems, workflow orchestration, and production AI architecture. Focus on designing reusable services, integrating business tools into a scalable AI data layer, and establishing evaluation, observability, governance, and deployment practices.

Company

hirify.global provides a residential construction management platform that helps contractors manage financials, schedules, workflows, and client relationships in one system.

What you will do

  • Own the technical architecture for hirify.global’s internal AI platform, including reusable services, agentic systems, workflow orchestration, and AI capabilities.
  • Define engineering standards for internal AI development: architecture patterns, reusable components, evaluation frameworks, observability, governance, and deployment practices.
  • Architect the integration and data layer connecting business tools (e.g., Salesforce, Gong, Databricks) into a scalable internal AI platform.
  • Lead technical evaluations and build-vs-buy decisions for AI platforms, frameworks, and tooling in partnership with the Director of AI Enablement.
  • Establish best practices for monitoring, evaluating, and continuously improving AI systems in production for reliability, security, and business value.
  • Translate ambiguous business problems into well-scoped technical solutions and drive them to completion independently.

Requirements

  • Location: Remote in the United States (or hybrid in Omaha, NE)
  • 5+ years of software engineering experience, including 2+ years designing and deploying production AI applications using modern LLM APIs and orchestration frameworks.
  • Experience owning technical architecture and influencing engineering direction across multiple teams.
  • Hands-on experience with modern AI tooling such as OpenAI, Anthropic, LangGraph, MCP, and vector databases (or similar).
  • Strong Python and/or JavaScript skills, including API integrations, webhook design, and data pipeline architecture.
  • Ability to design and deliver multi-step AI systems and communicate technical tradeoffs to VPs and senior leadership.

Culture & Benefits

  • Exceptional health packages (medical, dental, vision) plus life insurance and short- and long-term disability benefits.
  • 401(k) plan with hirify.global matching contributions.
  • Generous paid time off (11 paid holidays plus personal days), parental leave, and paid sabbaticals.
  • Volunteer time off, wellness program, and an onsite fitness center.
  • Opportunities for hybrid or remote work, plus technology reimbursement for home-office tech needs.
  • Free daily lunches when working from the HQ office and monthly team events.

Hiring process

  • Interviews focused on technical architecture ownership, production AI application experience, and build-vs-buy decision-making.
  • Discussions with engineering leadership and business stakeholders to evaluate communication and problem-scoping skills.

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