Applied AI Engineer

Technologies we use

About the project

Your responsibilities

• Build and ship AI features end-to-end, from the model and supporting systems to the user experience.
• Design and continuously improve prompts, tools, memory systems and agent workflows.
• Transform raw model outputs into structured, reliable and predictable product behavior.
• Diagnose and resolve issues across models, orchestration, infrastructure and user experience.
• Optimize systems for latency, operational cost and production reliability.
• Develop lightweight evaluation frameworks to measure real-world model and product performance.
• Work closely with product and engineering teams to transform ambiguous problems into production-ready systems.

Our requirements

• Strong foundations in Machine Learning and modern neural network architectures.
• Hands-on experience training, fine-tuning or deploying Machine Learning models.
• Ability to write clean, maintainable and production-quality code.
• Confidence working across multiple abstraction layers—from models and infrastructure to product behavior.
• Strong problem-solving skills in ambiguous and rapidly changing environments.
• A delivery-oriented mindset focused on shipping, measuring, iterating and continuously improving production systems.