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5 часов назад

Principal Software Engineer (Confluence AI)

174 051 - 273 775$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Software Engineer (Confluence AI): Building reliable full-stack AI experiences for creating, discovering, and collaborating on knowledge with an accent on generative AI, retrieval, agents, and measurable product quality. Focus on leading cross-team architecture, designing scalable systems, improving AI grounding and evaluation, and driving adoption through experimentation and user trust.

Location: Remote, Canada, or the United States, including San Francisco, Seattle, and Mountain View. hirify.global can hire in countries where it has a legal entity.

Base salary: US$174,051–US$273,775 depending on geographic pay zone; Canada CA$172,800–CA$225,600.

Company

hirify.global develops software products that help teams collaborate and manage different types of work.

What you will do

  • Lead technical strategy and complex initiatives for Confluence AI from architecture and prototyping through launch and iteration.
  • Design scalable, resilient full-stack systems across user experiences, backend services, and AI integrations.
  • Apply generative AI, retrieval, agents, evaluation, and safeguards to improve the usefulness, accuracy, and consistency of AI experiences.
  • Build automated evaluations, representative datasets, production monitoring, and continuous improvement loops based on user feedback.
  • Partner with product, design, analytics, engineering, and machine learning teams to improve adoption, retention, and customer value.
  • Mentor engineers, lead design reviews, communicate technical tradeoffs, and develop reusable engineering capabilities.

Requirements

  • Principal-level software engineering experience with the ability to lead complex, multi-quarter initiatives.
  • Strong full-stack engineering experience across frontend, backend, AI infrastructure, and analytics.
  • Experience designing scalable and resilient systems with performance, reliability, security, and cost requirements.
  • Experience applying generative AI, retrieval, agents, evaluation, grounding, context retrieval, orchestration, or safeguards.
  • Ability to collaborate across technical and non-technical functions and communicate strategy, tradeoffs, and results clearly.

Culture & Benefits

  • Flexible remote, office, or hybrid work arrangements.
  • Health and wellbeing resources.
  • Paid volunteer days and community-support programs.
  • Potential eligibility for bonuses, commissions, equity, and additional benefits.
  • Accommodations and adjustments are available throughout the recruitment process.

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