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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-позиция в крупной фармкомпании с практической разработкой AI-продукта и заметной ответственностью; конкретные технологии и условия оплаты не указаны.
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Понятная зона ответственностиРазработка AI-продуктаФарма и медицинаГибкий формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Manager, AI Product Engineer (AI): Building and shipping production AI product capabilities, including models, tools, retrieval, and evaluation flows, with an accent on technical ownership, distributed web systems, and production quality. Focus on designing AI-native features, improving operability through instrumentation and failure analysis, and leading code review, delivery, and mentoring across development pods.
Location: Greece—Thessaloniki, Chortiatis; hybrid work location assignment. Other locations: Europe—Any hirify.global Site.
Company
hirify.global is a global pharmaceutical company developing medicines and digital solutions intended to improve patient health outcomes.
What you will do
Design, implement, test, and ship core product capabilities, including AI-native flows involving models, tools, retrieval, and evaluation.
Own the technical quality and delivery of significant product areas, acting as technical lead for a product slice through sequencing, code review, and quality management.
Partner with AI Product Owners and product and design stakeholders to shape scope, identify technical risks, and improve learning speed and operability.
Work with DevOps on CI/CD, environments, production readiness, and shared studio engineering patterns.
Instrument features and use data and failure traces to improve product performance and reliability.
Mentor AI Product Engineers through pairing, critique, examples, demos, and design reviews.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
6+ years of professional software engineering experience with a track record of shipping and iterating production systems.
Hands-on experience integrating AI/ML or generative AI into product features.
Ability to lead technically without formal authority, including sequencing, review, and coaching.
Strong fundamentals in APIs, data, testing, and debugging distributed web systems.
Excellent collaboration with product and design in iterative, ambiguous environments.
Clear written and verbal communication; CV must be submitted in English.
Nice to have
Advanced degree.
Experience as a tech lead on a squad or pod.
Familiarity with modern AI platforms and at least one major cloud.
Healthcare, pharma, or other regulated-industry experience.
Mentoring or informal people-development experience.
Previous consulting or senior product-engineering experience.
Culture & Benefits
Patient-centric culture guided by courage, joy, equity, and excellence.
Commitment to diversity, inclusion, accessibility, and reasonable adjustments during recruitment and employment.
Company-wide digital transformation focused on data, modelling, automation, drug discovery, development, and patient experience.
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