Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden это чётко очерченная роль в прикладном ИИ для фармацевтических исследований: здесь сочетаются внедрение GenAI-решений и участие в исследованиях. Практические ограничения - гибридный формат и привязка к локации.
?Только в Греции
Актуальный ИИ-стек
ИИ в фармацевтике
Участие в исследованиях
Гибкая культура
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Associate, AI Engineer (Generative AI): Building enterprise-scale generative AI applications, RAG pipelines, knowledge graphs, and agentic workflows for scientific, regulatory, and business processes with an accent on LLM integration, Python services, and production-ready solutions. Focus on developing technical prototypes, evaluating emerging AI models, integrating enterprise APIs, and contributing to applied research and scientific publications.
Location: Hybrid in Thessaloniki, Pylaia, Greece; the role is also posted for Athens, N. Psychiko, Greece.
Company
hirify.global is a pharmaceutical company applying digital transformation, data, modeling, and automation to drug discovery and development and improved patient outcomes.
What you will do
Design, develop, and deploy enterprise-scale Generative AI applications using modern LLM frameworks and technologies.
Build RAG pipelines, retrieval systems, knowledge graphs, and agentic workflows for enterprise knowledge retrieval, document processing, scientific applications, and research support.
Integrate AI services and third-party APIs into production-ready enterprise platforms.
Build reliable, maintainable Python applications and services around AI capabilities.
Evaluate emerging AI models, tools, and frameworks and assess their applicability to real-world use cases.
Collaborate with data scientists, statisticians, software engineers, domain experts, and business stakeholders; contribute to applied research, scientific publications, and conference submissions.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Machine Learning, or a related quantitative or technical field.
Relevant industry, academic, or research experience in software development, machine learning, data science, or AI: approximately 3 years with a BSc or 1 year with an MSc.
Programming experience in Python.
Working knowledge of core Generative AI concepts and architectures, including LLMs, RAG, and AI agents.
Ability to independently develop and iterate on technical prototypes and turn ideas into working solutions.
Strong communication and collaboration skills.
Nice to have
Experience with REST API design and integration, React or another modern front-end framework, vector and SQL databases, Git and GitHub workflows, Linux, AWS or another major cloud platform, LLM evaluation, observability or testing, Docker, and containerized applications.
Experience in scientific, healthcare, pharmaceutical, or other regulated environments.
Application requires a CV and motivational letter in English.
For secondary posting locations where pay transparency regulations apply, local pay information is shared during the first interview.
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