1 месяц назад
Pre-Sales Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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