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2 дня назад

Software Engineering Manager AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Brazil
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
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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