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6 дней назад

Forward Deployed Engineer III - Eng (AI)

102 300 - 169 000$
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 III - Eng (AI): Building production-grade APIs, integrations, workflow automations, data pipelines, and AI-enabled workflows for enterprise HCM, Payroll, and Workforce Management customers with an accent on secure, auditable integrations and human-in-the-loop automation. Focus on translating ambiguous customer needs into production systems, prototyping and productizing AI solutions, and creating reusable architectures and tools.

Location: Seattle, WA, United States

Salary: $102,300–$169,000 per year, plus potential performance-based bonus and restricted stock unit awards.

Company

hirify.global provides a workforce operating platform with workforce insights and AI capabilities for enterprise organizations.

What you will do

  • Partner with customers to understand complex HCM, Payroll, and Workforce Management challenges and identify opportunities for software and AI solutions.
  • Own technical delivery for customer workstreams from discovery and design through implementation, testing, go-live, and operational handoff.
  • Build production-grade software components, APIs, integrations, event-driven workflows, data pipelines, and automation.
  • Prototype and implement AI-enabled workflows, including intelligent intake, summarization, routing, recommendations, data extraction, and human-in-the-loop review.
  • Translate ambiguous business needs into technical designs, implementation plans, and operational runbooks.
  • Create reusable templates, reference architectures, implementation notes, and internal tools while collaborating with Product and Engineering.

Requirements

  • 5+ years of experience building software, cloud applications, AI-enabled products, technical solutions, or production integrations.
  • Strong software engineering fundamentals covering APIs, cloud services, data flows, testing, deployment, monitoring, and debugging.
  • Experience building and deploying production systems or customer-facing technical solutions.
  • Familiarity with AWS, Azure, or GCP and hands-on experience with AI-enabled tools, LLMs, copilots, workflow automation, or agentic patterns.
  • Ability to work through ambiguity, translate business requirements into practical solutions, and communicate technical tradeoffs clearly with customers and internal stakeholders.
  • Sound judgment around security, privacy, compliance, responsible AI use, access controls, evaluation, monitoring, and failure modes.

Nice to have

  • Experience with HCM, Payroll, Workforce Management, ERP, IAM, SSO, or integration-heavy environments.
  • Experience with REST APIs, event-driven systems, ETL/ELT, data pipelines, workflow orchestration, or identity integrations.
  • Experience creating reusable frameworks, templates, internal tools, or reference architectures.
  • Familiarity with agent patterns such as tools, orchestration, retrieval, evaluation, and human-in-the-loop controls.
  • Experience working directly with customers, users, or business stakeholders to turn ambiguous needs into working software.

Culture & Benefits

  • Benefits and rewards are provided as part of employment.
  • Potential performance-based bonus and restricted stock unit awards in addition to base pay.
  • Work focused on measurable customer value, reusable engineering capabilities, and responsible AI adoption.
  • Equal opportunity employment and disability accommodation support are provided.

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