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2 часа назад

Forward Deployed Engineer (FDE)

148 000 - 255 000$
Формат работы
hybrid
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 (FDE) (Python/AI): Designing, building, and deploying production-grade customer integrations and AI-driven systems with an accent on distributed systems, APIs, cloud infrastructure, and LLM-based workflows. Focus on owning deployments end-to-end, building evaluation frameworks for agent behavior, and solving ambiguous technical problems in customer environments.

Location: Hybrid in San Francisco or New York

Base salary: $148,000–$255,000 per year, plus equity.

Company

hirify.global builds data and intelligence infrastructure for business verification, onboarding, risk management, and business formation, serving banks, fintechs, and other companies.

What you will do

  • Lead architecture and technical design for complex customer-facing systems and integrations.
  • Partner with strategic customers and internal product and engineering teams to understand architectures, workflows, and constraints.
  • Design, build, deploy, monitor, and iterate on integrations using APIs, data pipelines, and AI workflows.
  • Build and operate LLM- and agent-based systems in production customer workflows.
  • Design evaluation frameworks, test harnesses, metrics, and feedback loops for AI system quality and reliability.
  • Translate deployment insights into reusable abstractions, internal tooling, product improvements, and technical standards.

Requirements

  • 6+ years of experience building and shipping software in production.
  • Experience serving as a technical lead or domain owner for a team or major system.
  • Strong Python skills plus proficiency in another language such as TypeScript or Go.
  • Experience designing and operating distributed systems, APIs, and cloud-native infrastructure.
  • Ability to work across backend systems, integrations, infrastructure, and tooling with strong debugging and ownership skills.
  • Strong communication skills for explaining technical trade-offs to engineering, product, and non-technical stakeholders.

Nice to have

  • Hands-on experience with LLM-powered or agent-based systems and LLM evaluation techniques.
  • Startup experience, including work as a founder or early startup engineer.
  • Background in fintech, compliance, regulated systems, identity, risk, fraud, or workflow automation.
  • Experience with observability, reliability engineering, or system safety practices.

Culture & Benefits

  • High-ownership, high-trust environment with autonomy and direct influence on product direction.
  • Technical leadership through influence, design reviews, code reviews, and hands-on collaboration.
  • Focus on thoughtful engineering, pragmatism, customer value, and real-world impact.
  • Equity and competitive benefits are offered.

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