About the Role

Esko is seeking an AI Engineer to develop and integrate AI solutions using LLMs, RAG, and agentic frameworks. The role focuses on enabling automatic artwork creation and simplifying business workflows through AI-powered tools. Join a global packaging solutions company and work hybrid from Prague.

Responsibilities

Develop and maintain LLM-based components including prompt templates, embeddings, and vector search integrations.
Assist in building agentic workflows that utilize tools, APIs, and plugins for task execution.
Collaborate with senior engineers to prototype and deploy AI-powered features in production environments.
Integrate and experiment with frameworks like LangChain, Semantic Kernel, or similar.
Monitor and improve performance, reliability, and safety of deployed AI systems.
Work closely with data scientists, product managers, and platform teams to support AI initiatives across Esko’s packaging solutions.

Requirements

Bachelor’s degree in Computer Science, Data Science, or a related field.
Minimum 6 years of IT experience.
3-4 years of hands-on experience in AI/ML engineering, with exposure to NLP or LLMs.
Strong familiarity with transformer architectures, prompt engineering, and vector databases such as FAISS or Pinecone.
Proficiency in Python, with practical experience using frameworks like Hugging Face Transformers or LangChain.
Solid understanding of software engineering principles, cloud-based deployment, and ML model lifecycle management.

Nice to Have

Experience working with agentic frameworks or building simple autonomous workflows.
Exposure to RAG pipelines or fine-tuning LLMs.
Interest in responsible AI practices and secure model deployment.
Contributions to open-source projects or participation in AI communities.