Назад
Company hidden
3 дня назад

Forward Deployed Engineer (AI)

221 000 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Forward Deployed Engineer (AI): Designing, building, and deploying AI-powered production systems for enterprise customers with an accent on TypeScript, APIs, data pipelines, cloud infrastructure, and customer-specific workflows. Focus on debugging complex integrations, operationalizing LLM-based systems, and turning field learnings into scalable platform capabilities.

Location: San Francisco, CA; hybrid

Salary: $221,000–$275,000 annual base compensation, plus potential equity.

Company

hirify.global develops an AI Time platform that uses machine learning to capture, analyze, and optimize work time for professional services firms.

What you will do

  • Work directly with customers to understand operational workflows, constraints, and technical environments.
  • Design and implement production-grade systems across backend services, orchestration layers, integrations, internal tooling, and cloud infrastructure.
  • Write high-quality code using TypeScript, APIs, data pipelines, and related platform technologies.
  • Own deployments end to end, including discovery, architecture, implementation, testing, rollout, monitoring, and iteration.
  • Debug complex issues involving customer systems, authentication, APIs, infrastructure, and data pipelines.
  • Collaborate with Product and Core Engineering to turn field learnings into reusable platform capabilities.

Requirements

  • 4+ years of experience building production software systems.
  • Ability to work across backend engineering, infrastructure, integrations, and customer environments.
  • Ability to independently architect and ship complex systems with minimal oversight.
  • Experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications.
  • Production experience with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems.
  • Clear communication with both engineers and non-technical stakeholders, including direct customer collaboration.

Nice to have

  • Startup or early-stage product-building experience.
  • Experience deploying AI systems into enterprise environments.
  • Systems engineering, infrastructure, enterprise integrations, authentication, security, or enterprise IT experience.
  • Experience debugging production issues in unfamiliar codebases and shipping quickly under real-world constraints.

Culture & Benefits

  • Collaborative and inclusive engineering environment with high ownership and autonomy.
  • Health and wellness programs, paid time off, retirement planning, equity, and a 401(k).
  • Bi-annual in-person company off-sites.
  • Visa sponsorship and relocation assistance are not available.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →