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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная руководящая роль с практической разработкой, глобальной AI-повесткой и поддержкой развития выглядит перспективно, но важно заранее согласовать приоритеты между управлением и кодингом.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineering Manager AI (Machine Learning/AWS): Building and scaling AI products for global vegetable-seed operations, connecting supply-chain data with digital solutions across production, processing, quality, and logistics with an accent on people management, technical leadership, and hands-on engineering. Focus on owning AWS architecture, developing reliable and secure AI applications, scaling reusable models across regions, and transferring platform knowledge from external partners to internal teams.
Location: São Paulo, SP, Brazil; hybrid work arrangement.
Company
A global agricultural innovation organization developing technologies and digital solutions for growers, with operations in more than 90 countries.
What you will do
Develop and execute the engineering strategy for AI products supporting global Vegetable Seeds objectives.
Lead end-to-end application development with a focus on reliability, security, ethical AI standards, and user-centered experiences.
Own the platform architecture and AWS environment while coordinating with Cloud, Infrastructure, and Security specialists.
Contribute to coding, code reviews, testing, debugging, technical troubleshooting, and solution operations.
Lead and develop engineers, increase team autonomy, manage knowledge transfer from partners, and support continuous learning.
Collaborate with product, data, business, and global technology teams; manage budgets and timelines, assess AI opportunities, and resolve dependencies.
Requirements
10+ years of product engineering experience, including 3–5 years implementing AI/ML at enterprise scale.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence/Machine Learning, Engineering, or a related field.
Hands-on experience with PyTorch, TensorFlow, Databricks, AWS, and modern software architecture.
Practical AWS knowledge and current ability to code, review, test, and debug while contributing directly to development and operations.
Experience applying AI to supply chain, quality, or production challenges in a global manufacturing or agricultural environment.
Strong experience leading high-performing distributed teams using agile methodologies.
Previous people-management experience, including feedback, performance management, and engineer development.
Ability to build and develop technical teams, manage change in large organizations, align technology with business objectives, and focus on business outcomes.
Ability to explain complex AI concepts to non-technical audiences, communicate in English, build cross-functional relationships, negotiate dependencies, resolve disagreements, handle pressure, communicate risks, and provide constructive feedback.
Strong ownership, initiative, openness to feedback, and willingness to recognize limitations and adjust approach.
Nice to have
Experience transitioning solutions from vendors or consulting partners to internal teams.
Experience scaling products across regions or crops, including demand forecasting, inventory replenishment, or lot allocation applications.
Culture & Benefits
Flexible work arrangements supporting professional and personal needs.
Culture focused on diversity, inclusion, professional development, and work-life balance.
Medical, dental, and vision coverage from the first day.
Paid time off, maternity and paternity leave, education assistance, wellness programs, and corporate discounts.
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