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20 дней назад

AI Engineer (Pharma)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (Pharma): Designing, building, and deploying production-grade AI systems for business and scientific insights, particularly in competitive intelligence and strategy contexts. Focus on developing LLM-powered applications, multi-agent systems, and advanced retrieval architectures.

Location: Onsite in Barcelona, Spain

Company

hirify.global, now part of EPAM, is a Digital Accelerator helping leading organizations with high-impact digital transformation solutions.

What you will do

  • Design and deliver production-grade AI systems, including LLM-powered applications for strategy teams.
  • Architect and implement multi-agent systems and tool-calling frameworks.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and vector-based retrieval systems.
  • Collaborate within agile, cross-functional teams to align AI solutions with business objectives.
  • Implement evaluation frameworks to assess model accuracy, coverage, and consistency.
  • Monitor, maintain, and optimize AI models in production environments, ensuring compliance with ethical standards.

Requirements

  • MSc, PhD, or equivalent practical experience in Artificial Intelligence, Machine Learning, or related fields.
  • Strong proficiency in Python and solid software engineering best practices.
  • Hands-on experience with Large Language Models (LLMs), embeddings, RAG pipelines, and vector databases.
  • Experience designing and implementing multi-agent systems or tool-calling frameworks.
  • Experience building evaluation frameworks for model accuracy, interpretability, and bias detection.
  • Strong understanding of data structures, algorithms, and API design principles.

Culture & Benefits

  • A career plan allowing choice between technical specialization or management.
  • Access to social benefits and continuous training.
  • Flexible working hours and support for work-life balance.

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