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3 месяца назад

LLM Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland, Europe
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

LLM Engineer (AI Engineering): Develop and deploy end-to-end large language model capabilities embedded in healthcare products with an accent on production-grade LLM deployments, prompt management, and scalable information retrieval solutions. Focus on designing, iterating, and optimizing LLM services, collaborating cross-functionally, and advancing MLOps best practices in a multilingual environment.

Location: 100% remote-friendly within Poland

Company

hirify.global is a global healthcare technology company operating in 13 countries, empowering patients and doctors with innovative digital healthcare solutions and maintaining a startup mindset with over 2,500 employees worldwide.

What you will do

  • Collaborate with scientists, engineers, and product stakeholders to deliver LLM-driven initiatives aligned with business goals.
  • Design, deploy, and optimize LLM services for text-based applications and beyond.
  • Build Python projects and support production code deployment at scale.
  • Research and implement scalable prompt management and LLMOps strategies balancing performance, cost, and reliability.
  • Develop LLM-powered information retrieval solutions such as Retrieval-Augmented Generation (RAG) in multilingual contexts.
  • Partner with AI Platform team to refine frameworks and workflows for efficient LLM operations.

Requirements

  • Must be located in Poland or able to work remotely within Poland.
  • At least one year of professional experience in LLM development or integration in product-driven environments.
  • Proficiency in Python and experience with LLM frameworks like LangChain or LlamaIndex.
  • Experience with production-grade LLM deployments, prompt management, vector databases, and semantic search.
  • Strong understanding of transformer architectures and evaluation of LLMs using custom metrics.
  • Ability to manage timelines and deliver results under tight deadlines.

Nice to have

  • Experience with Kubernetes and AWS cloud infrastructure.
  • Knowledge of FastAPI and MLOps best practices.
  • Curiosity and eagerness to collaborate in cross-functional teams.

Culture & Benefits

  • Flexible remote or hybrid work model with a hub in Warsaw.
  • Flexible working hours with minimal mandatory meetings.
  • 20 to 26 days of paid time off plus an additional paid day off for birthday or work anniversary.
  • Private healthcare plan and subsidized family coverage.
  • Multisport card co-financing for access to sports facilities across Poland.
  • Access to mental wellness platform and free English classes.

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