Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зона ответственности на уровне техлида описана достаточно чётко и охватывает запуск AI-решений в production, но в консалтинге проекты могут меняться, а работа над одним продуктом быть менее стабильной.
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Современный AI-стек
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Текст:
Hirify AI/Оригинал
TL;DR
AI Tech Lead (AI/LLMs): Leading the design and production delivery of complex AI and software solutions with an accent on Generative AI, LLMs, RAG, AI agents, cloud platforms, and scalable engineering practices. Focus on translating business requirements into technical architectures, integrating APIs and cloud AI services, and building reliable solutions with CI/CD, automated testing, monitoring, and MLOps.
Location: Remote in Portugal, with occasional visits to Venda do Pinheiro.
Company
hirify.global is a Portugal-based IT consulting partner with 18 years of experience, providing technology guidance and software solutions through an agile, people-centered team.
What you will do
Technically lead complex AI and software solutions from design through production.
Design and implement scalable, production-ready AI solutions.
Apply modern AI approaches, including Generative AI, LLMs, RAG, AI agents, and machine learning.
Work with cloud platforms and cloud-based AI services, preferably Microsoft Azure, AWS, or Google Cloud.
Integrate APIs and systems while applying CI/CD, automated testing, monitoring, DevOps, and MLOps practices.
Translate business problems and requirements into appropriate technical solutions.
Requirements
5+ years of experience in a similar role.
Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience.
Strong professional experience in software engineering, AI engineering, machine learning, or AI solution development.
Proven ability to technically lead complex AI or software solutions from design through production.
Strong understanding of modern AI technologies and development approaches, including Generative AI, LLMs, RAG, AI agents, machine learning, and related frameworks.
Strong software engineering background and proficiency with modern development practices.
Experience designing and implementing scalable, production-ready solutions.
Experience with cloud platforms and cloud-based AI services, preferably Microsoft Azure, AWS, or Google Cloud.
Good understanding of APIs, system integration, CI/CD, automated testing, monitoring, DevOps, and MLOps practices.
Culture & Benefits
No-term full-time contract.
Health insurance, 22 paid vacation days, and four additional annual days for Carnival, Christmas Eve, New Year’s Eve, and the employee’s birthday.
Meal allowance on a Coverflex card, referral bonus, discounts, and flexible options.
Annual training budget and challenging projects supporting professional growth.
Team-oriented culture within a dynamically growing international company.
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