Applied AI Engineer

Overview

• As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
• You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions.
• This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
• Discover the Responsibilities
• Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools.
• Build advanced agent-based systems capable of multi-step reasoning, planning, an tool integration.
• Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation.
• Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms.
• Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality.
• Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics.
• Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities.
• Collaborate with cross-functional teams to deliver reliable, high-performance AI systems.