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17 часов назад

Senior Software Engineer (AI)

149 400 - 235 000$
Формат работы
remote (только USA)/hybrid/onsite
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

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TL;DR
Senior Software Engineer (AI): Building reliable full-stack AI experiences for Confluence that help teams create, discover, and collaborate on knowledge with an accent on generative AI, retrieval, agents, evaluation, and user trust. Focus on designing complex features, building automated quality evaluations, improving context retrieval and orchestration, and measuring adoption through experiments and production feedback.

Location: Remote, hybrid, or office-based in the United States or Canada; listed locations include Seattle, San Francisco, and Mountain View. hirify.global can hire in countries where it has a legal entity.

Base salary: US$149,400–$235,000 annually across Zones C–A; Canada CA$144,900–CA$189,175 annually.

Company

hirify.global develops collaboration software that helps teams organize work, share knowledge, and achieve goals together.

What you will do

  • Own complex Confluence AI features from technical design and implementation through launch and continuous improvement.
  • Build cohesive experiences across frontend interfaces, backend services, and AI integrations.
  • Apply generative AI, retrieval, agents, evaluation, grounding, orchestration, and safeguards to improve AI quality.
  • Develop automated evaluations, representative test datasets, monitoring, and feedback loops to prevent regressions and diagnose issues.
  • Instrument features and run experiments to measure quality, activation, retention, engagement, and customer value.
  • Partner with product, design, analytics, machine learning, platform, and engineering teams while mentoring engineers and improving delivery practices.

Requirements

  • Senior-level software engineering experience with the ability to own complex features independently.
  • Ability to contribute across frontend, backend, and AI integration boundaries.
  • Experience designing and delivering scalable, reliable software that meets performance, security, accessibility, and cost requirements.
  • Ability to break down ambiguous problems, use prototypes and data to guide decisions, and balance customer impact, complexity, risk, and cost.
  • Ability to communicate technical decisions, tradeoffs, and experiment results clearly.
  • Ability to collaborate with product managers, designers, engineers, data scientists, machine learning teams, and platform engineers.

Culture & Benefits

  • Flexible choice of office, home, or combined work arrangements.
  • Health and wellbeing resources, paid volunteer days, and additional benefits and perks.
  • Support for accommodations or adjustments throughout the recruitment process.
  • Employment includes identity verification, which may involve biometric data, for employment fraud prevention where required by local law.
  • Compensation may also include benefits, bonuses, commissions, and equity.

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