We are partnering with a leading enterprise organisation undertaking a major AI uplift across its technology platform. This is a hands on AI Engineering role focused on designing and delivering scalable, production grade AI solutions embedded directly into enterprise systems. This is not a research or proof of concept position. You will be building robust, maintainable AI enabled services that operate at scale within distributed cloud environments. The Role You will sit at the intersection of software engineering, distributed systems, and applied LLM technologies. Working closely with engineering and business stakeholders, you will translate complex challenges into scalable AI driven architectures. You will: • Design and implement LLM heavy workflows and reusable agent frameworks • Build production grade Python services within Azure environments • Embed AI capabilities into enterprise APIs and data platforms • Identify and refactor brittle AI patterns, including prompt sprawl and poor orchestration • Ensure solutions are scalable, observable, secure, and cost controlled • Contribute to AI driven automation initiatives across the organisation What We’re Looking For • 3 plus years experience in Software Engineering, Platform Engineering, or Production Data Engineering • Strong Python development in production systems • Experience deploying scalable cloud solutions in Azure • Hands on experience building and scaling LLM based solutions in real world environments • Experience integrating AI into enterprise systems or data workflows • Strong architectural thinking with the ability to identify anti patterns and design for long term maintainability Nice to have: • Data Science background • Strong SQL capability • Experience building reusable AI agents • Experience implementing evaluation frameworks, retry logic, and monitoring for LLM systems • Experience with distributed or event driven architectures What Success Looks Like • AI solutions that scale beyond experimentation • Reusable frameworks adopted across engineering teams • Automation that meaningfully reduces manual processes • Production grade AI services with clear architecture and observability
