Artificial Intelligence Architect for Innovative Solutions

8 hours ago


Remote, Czech Republic emagine Sp. Z o.o. Full time
Job Description:
We are seeking an experienced Artificial Intelligence Architect to join our team at emagine Sp. Z o.o. as a key member in designing and implementing innovative AI and machine learning solutions for both internal and client projects.

Main Responsibilities:
  • Design and implement cutting-edge AI and machine learning models to drive business growth.
  • Develop and validate intelligent assistants using large language models, incorporating Retrieval Augmented Generation (RAG) techniques and leveraging frameworks like Langraph and CrewAI.
  • Provide expert guidance on technical strategies and solution architectures to address complex business challenges using AI.
  • Simplify and present intricate technical concepts in a clear and actionable manner for both technical and non-technical stakeholders.
  • Cultivate strong relationships with clients and internal teams to ensure seamless project execution.

Requirements:
  • At least 4 years of professional experience in AI or machine learning.
  • Proven expertise in building applications with Large Language Models (LLMs), utilizing techniques like RAG, vector databases, embeddings, and prompt engineering.
  • Familiarity with LLM frameworks such as Langchain or Llamaindex.
  • Advanced proficiency in Python programming.
  • Strong understanding of statistics and its application in machine learning.
  • Deep knowledge of machine learning and AI, including algorithm types, frameworks, model evaluation metrics, and AI architectures.
  • Experience training and working with transformer-based models for text or image data.
  • Expertise in managing and processing large datasets using tools like Pandas, NumPy, and SQL.
  • A degree in a relevant field such as Economics, Computer Science, Mathematics, Physics, or related disciplines.
  • Excellent English and Polish communication skills, both written and spoken.
  • Exceptional analytical and problem-solving capabilities.

Nice to have:
  • Familiarity with GenAI agent frameworks and libraries like Langraph, CrewAI, Autogen, or Taskweave.
  • Knowledge of Natural Language Processing (NLP) methods and techniques.
  • Proficiency in additional programming languages such as C#, Go, or Java.
  • Understanding of key concepts in reinforcement learning.


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