Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
По международному рынку данных пока нет
На СНГ рынке: $7.4к/мес ($4к - $11к)
85
Крутая вакансия
развернуть
Понятная роль сооснователя с большой ответственностью, проверенным MVP, доступом к реальным пользователям и амбициозной AI-разработкой, но с типичной неопределённостью раннего стартапа.
Кликните для подробной информации
Риск раннего этапаПередовой AIДоступ к пользователямРоль сооснователя
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Co-Founder & CTO (AI): Building and scaling an AI copilot for technical field service with an accent on production-grade machine learning, multimodal workflows, integrations, and a learning engine based on confirmed job outcomes. Focus on designing reliable retrieval and diagnostic systems, evaluating and monitoring AI safety, building technician-focused UX, and leading the engineering function from MVP to spin-out.
Location: Berlin, Germany; hybrid and flexible
Company
hirify.global is backing a stealth-mode AI venture building a field service intelligence platform for technicians, developed with a leading European real estate industry partner and tested on real jobs.
What you will do
Own technology end to end, including architecture, roadmap, build-versus-buy decisions, reliability, and security.
Take the tested MVP to a production-grade product used daily by field technicians and build reliable integrations with customer work-order and asset data.
Improve the machine learning core through retrieval over manufacturer and expert knowledge, multimodal inputs such as photos and voice, and diagnostic reasoning.
Design the learning engine that captures, reviews, evaluates, and reuses confirmed outcomes from every visit.
Set up evaluation, safety, monitoring, expert-reviewed benchmarks, grounding, escalation, and regression testing.
Build technician-focused UX/UI, work directly with technicians in the field, recruit and lead engineering, and shape strategy, culture, and investor conversations as a co-founder.
Requirements
Master’s degree in Computer Science, Machine Learning/AI, Data Science, Mathematics, Physics, Electrical Engineering, or a related quantitative field.
Ideally 3+ years of machine learning experience applied to production products, including areas such as LLMs, retrieval/RAG, NLP, computer vision, or model evaluation.
Experience leading the technical build of a product from zero to one, such as as a tech lead or founding engineer.
Strong hands-on software engineering across backend, APIs, data pipelines, and cloud; you must continue to build and ship yourself.
Sound technical judgment about the limits of LLMs, how to test them, and when not to use them.
Entrepreneurial mindset, full ownership, bias for action, and comfort with ambiguity.
Product empathy and willingness to learn from users in the field and simplify complex work.
Fluent German and English required; German is needed for working with technicians and technical source material.
Nice to have
PhD in Machine Learning, NLP, Computer Vision, Information Retrieval, or a related field.
Previous founder or early-stage startup experience.
Experience with Microsoft Azure and enterprise B2B requirements, including security, GDPR, and multi-tenant SaaS.
Background in field service, industrial, maintenance, or proptech software.
Experience with multimodal AI, voice interfaces, or decision-support systems.
Experience hiring and leading engineering teams.
Culture & Benefits
True co-founder role with ownership of the technology and a meaningful equity stake.
Competitive compensation package and a real say in company direction.
Tested MVP, cooperating partner with thousands of technicians and real repair data, and a path toward spin-out and first funding.
Support from hirify.global’s network across technology, design, and growth.
Full-time, hybrid work in Berlin with a flexible start as soon as possible.
Mission focused on helping close the skilled-trades gap in Europe.
Hiring process
Send a CV or LinkedIn profile with a short note explaining why you want to build the company and an example of machine learning work you have shipped.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →