Senior AI Engineer Specialist

Key Responsibilities

AI Architecture & Development

• Architect and implement modular LLM pipelines, including prompt engineering, embeddings, vector search, fine-tuning, and orchestration.
• Design and build autonomous AI agents capable of reasoning, tool use (e.g., APIs, plugins), and multi-step task execution.
• Own the end-to-end lifecycle of AI systems — from prototyping to production deployment, observability, and optimization.
• Evaluate and integrate emerging frameworks such as LangGraph, CrewAI, AutoGen, and Semantic Kernel to enhance AI capability.
• Ensure performance, scalability, safety, and traceability of LLM-based systems in production environments.

Collaboration & Innovation

• Partner with data science, platform engineering, and product teams to embed AI solutions across Esko's ecosystem.
• Stay at the forefront of AI and LLM research trends to influence Esko's AI strategy and technology roadmap.
• Contribute to architectural decisions, mentor junior engineers, and drive best practices in AI engineering and deployment.

Focus Areas

• Generative design automation (e.g., automatic artwork creation, layout optimization).
• Intelligent workflow orchestration across packaging lifecycle processes.
• AI-based business process enhancement for productivity and efficiency.

Skills Required
Machine Learning, Artificial Intelligence, Automation, Python