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1 месяц назад

Pre-Sales Engineer (AI/ML)

Формат работы
remote (Global)
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Pre-Sales Engineer (AI/ML): Handling hands-on technical architecture and setup while contributing to presales activities for the US market, including designing and building solutions across modern web and cloud stacks with an accent on AI/ML model integration and end-to-end delivery. Focus on translating customer requirements into technical approaches, leading project kickoff and early iterations, and shaping technical proposals through demos, consultations, and RFP/RFI responses.

Company

hirify.global provides solutions that combine modern web/cloud development with AI/ML capabilities.

What you will do

  • Design architectural solution options and define technical approaches for customer needs.
  • Lead project setup and kickoff: run init sessions, configure environments, and provide starter artifacts.
  • Support and oversee project launches and early iterations to ensure presales commitments are met.
  • Provide technical leadership and mentorship through reviews and guidance on tech-stack selection.
  • Gather, analyze, and formalize customer requirements; translate business objectives into technical solutions.
  • Prepare estimates, proposals, roadmaps, and presentations; participate in demos, technical consultations, and RFP/RFI responses.

Requirements

  • 5–7 years of professional software development experience.
  • Strong full-stack background with Python or JavaScript.
  • Practical experience with AI/ML technologies and model integration.
  • Proven hands-on experience delivering end-to-end solutions (backend, frontend, and ML/AI integration).
  • Systemic thinking and ability to make fast architectural decisions.
  • English: B2 or higher for client communication and documentation.

Culture & Benefits

  • Remote work arrangement.
  • Onboarding, ongoing support, and mentorship from an experienced colleague.
  • Varied technical challenges with exposure to diverse industries and clients.
  • Opportunity to influence both project execution and proposal direction.

Hiring process

  • Application review followed by interviews to assess technical fit and communication skills.
  • Evaluation of hands-on experience with architecture, setup, and AI/ML integration.

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