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обновлено 8 дней назад

Applied AI Engineer (AI)

180 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Applied AI Engineer (AI): Deploying Devin across enterprise engineering organizations and integrating agentic workflows into software delivery with an accent on customer adoption, production implementation, and measurable productivity gains. Focus on architecting AI workflows, pair-programming on production problems, quantifying ROI, and converting customer learnings into scalable enablement playbooks.

Location: On-site in San Francisco, London, or New York City

Estimated base salary: $180K–$225K, plus equity

Company

Windsurf builds Devin, an AI software engineer designed to reason about and execute real-world software engineering tasks.

What you will do

  • Embed with enterprise engineering teams and drive measurable, lasting adoption of Devin.
  • Architect and implement agentic workflows across engineering, QA, support, data, and product.
  • Lead workshops, pair-programming sessions, and other interactive enablement programs.
  • Help customers install, configure, and optimize Devin, DeepWiki, and MCP integrations.
  • Track productivity metrics, quantify ROI, and build the business case for expanding Devin within customer accounts.
  • Turn customer learnings into repeatable playbooks, best practices, enablement materials, and partner-led programs.

Requirements

  • Degree in a STEM field or equivalent hands-on experience.
  • 3+ years of experience as a software engineer, technical consultant, deployment strategist, forward-deployed engineer, solutions engineer, or in a similar role.
  • Strong coding proficiency in Python, JavaScript/TypeScript, or a similar language.
  • Ability to communicate complex technical topics to diverse audiences and drive technical adoption.
  • Strong commercial instincts, excellent communication skills, and the ability to learn and adapt quickly.

Nice to have

  • Experience leading developer enablement, platform adoption, or internal AI modernization initiatives with measurable results.
  • Experience deploying or integrating LLM or agent-based systems in production.
  • Experience founding or joining an early-stage startup where autonomy and execution speed were important.

Culture & Benefits

  • Work alongside a highly experienced team with backgrounds in AI, software, and high-growth technology companies.
  • Focus on solving complex problems and building AI systems that reason about real-world tasks.
  • Full-time employment with equity compensation.
  • Equal opportunity employment and reasonable accommodations throughout the hiring process.

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