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1 день назад

Forward Deployed Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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): Delivering and deploying AI code review and governance solutions for strategic enterprise customers across on-prem, air-gapped, and regulated environments with an accent on agentic use cases, customer-specific integrations, and production reliability. Focus on debugging distributed systems, building MCP servers and agent extensions, and converting customer deployments into reusable product capabilities.

Location: Tel-Aviv, Israel

Company

hirify.global is building an AI code review and governance platform for engineering organizations that develop and deploy AI-generated code.

What you will do

  • Own technical delivery across multiple customer deployments, from initial prototypes through stable production.
  • Diagnose and remediate complex issues in the codebase and production environments, including routing, gateway behavior, performance, reliability, and large-scale pull request challenges.
  • Build customer-specific MCP servers, agent skills, and platform integrations that can become reusable product capabilities.
  • Work directly with customer engineering teams on debugging, architecture reviews, discovery, and joint implementation.
  • Scope and sequence delivery, remove blockers, and balance scope, speed, and quality.
  • Partner with Product, Research, Platform, Security, and go-to-market teams to turn customer feedback into roadmap items, tools, playbooks, and benchmarks.

Requirements

  • 5+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, Software Engineer with consulting experience, or founder with hands-on deployment experience.
  • Experience building or consuming MCP servers or agent frameworks.
  • Ability to write and review production-quality code in Python, TypeScript, or comparable stacks.
  • Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
  • Experience debugging distributed systems under time pressure and preventing recurrence through effective postmortems.
  • Strong communication skills for working with engineers and non-technical stakeholders, conducting discovery, and identifying risks early.

Nice to have

  • Background in enterprise platform engineering, multi-tenancy design, or large-scale monorepo tooling.
  • Experience with model routing, inference infrastructure, or LLM gateway systems.

Culture & Benefits

  • Founding function with influence over field engineering standards, playbooks, and technical practices.
  • Hands-on, commercially scoped work with strategic enterprise customers.
  • Close collaboration across Product, Research, Platform, Security, and go-to-market teams.
  • Customer production learnings directly shape the core product roadmap.

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