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4 дня назад

Forward Deployed Engineer (AI)

100 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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): Deploying and extending an autonomous procurement platform for enterprise customers with an accent on AI agent configuration, enterprise integrations, and production software delivery. Focus on building connectors and data pipelines, tuning LLM-powered workflows and guardrails, and translating customer deployment insights into scalable product capabilities.

Location: Palo Alto, CA; in-office 4 days a week and 1 day flexible

Annual base salary: $100,000–$200,000

Company

hirify.global builds an autonomous AI sourcing platform that manages the enterprise procurement intake-to-award process, including supplier evaluation and negotiation.

What you will do

  • Build custom connectors, data pipelines, and prototypes for customer-specific procurement requirements.
  • Extend the core product and ship production code through code review, testing, and release processes.
  • Lead enterprise deployments from kickoff through go-live, adoption, and production monitoring.
  • Integrate the platform with ERP, procurement, contract management, identity, and other systems using APIs, webhooks, and SSO.
  • Configure sourcing workflows, approval rules, governance, agent guardrails, negotiation parameters, and evaluation criteria.
  • Partner with procurement, IT, and information security stakeholders, measure deployment outcomes, and turn field insights into reusable platform capabilities.

Requirements

  • 3+ years of experience as a software engineer, forward deployed engineer, or solutions engineer, including production code delivery and direct customer exposure.
  • Experience at an AI-native company or on an AI-native platform, with production exposure to LLM applications, agents, or workflow automation.
  • Knowledge of designing, evaluating, and monitoring LLM-powered systems, including prompt design, tool use, retrieval, guardrails, and output evaluation.
  • Strong proficiency in Python or TypeScript and working knowledge of REST APIs, webhooks, JSON, and SQL.
  • Experience contributing to a shared production codebase, including code review, testing, and CI/CD.
  • Experience integrating enterprise systems such as ERP, CRM, procurement, or identity platforms, with familiarity with SSO, OAuth, and role-based access control.
  • Experience with AWS, Azure, or GCP and understanding of enterprise security and data privacy expectations, including GDPR and CCPA.
  • Clear written and verbal communication, sound judgment in ambiguous customer situations, ownership of outcomes, and ability to manage multiple deployments simultaneously.
  • Willingness to travel to customer sites as needed.

Nice to have

  • Background in procurement, sourcing, supply chain, or finance technology.
  • Experience with SAP Ariba, Coupa, or Jaggaer.
  • Experience with agent frameworks, evaluation tooling, or multi-agent orchestration.
  • Experience building developer tooling, SDKs, or APIs for other engineers.
  • Prior ownership of a customer-facing product feature from design through production.

Culture & Benefits

  • Work closely with Product and Engineering while taking ownership of deployment strategy and customer outcomes.
  • Work in the Palo Alto office 4 days per week; 1 day may be worked wherever most effective.
  • Participate in a diverse and inclusive workplace with equal employment opportunity and E-Verify participation.
  • Annual base salary range of $100,000–$200,000, depending on experience, skills, and location.

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