Applied AI Engineer

Overview

Build and ship reliable AI features by connecting machine learning models, systems, and product experiences. Own problems end to end, from model behavior through production performance.

What you'll do

• Build and ship AI features from model to user experience.
• Design and iterate on prompts, tools, memory, and agent workflows.
• Convert model outputs into structured and predictable behaviors.
• Debug issues across models, orchestration, infrastructure, and user experience.
• Optimize systems for latency, cost, and production reliability.
• Develop evaluation frameworks for real-world performance.
• Work with product and engineering teams to turn ambiguous problems into working systems.

What you'll need

• Strong foundation in machine learning and modern neural network architectures.
• Hands-on experience training, fine-tuning, or deploying machine learning models.
• Ability to write clean, production-quality code.
• Experience with Python.
• Experience with PyTorch or JAX.
• Familiarity with LLMs, inference or serving systems, and vector databases.
• Strong problem-solving skills in ambiguous, fast-moving environments.

Details

• Location: Ireland.
• Interviews are conducted via virtual meetings and/or onsite.