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Artificial Intelligence Engineer
Founding AI Engineer | Global Media | London / Yorkshire
The Opportunity
We are working with a global media and digital content institution, delivering news, visual licensing, and sports analytics to audiences worldwide. They are launching a new AI Enablement team to transform how our organization creates, curates, and distributes content.
This is a founding role where you will define what AI-native engineering means for our business. You will operate with startup agility inside an established enterprise, free from legacy constraints and long approval processes. Embedded directly with our product and business teams, you will move from concept to working prototype in days. Your work will directly empower journalists, enhance content discovery, and shape our digital transformation on a massive scale.
What You’ll Be Doing
- Build rapid, AI-powered prototypes and production systems using TypeScript, Node.js, and AWS
- Leverage agentic frameworks and advanced AI models to solve complex business challenges
- Embed closely with cross-functional teams to gather real-time feedback and iterate on solutions
- Partner with product leadership to translate validated opportunities into scalable technical architectures
- Design accessible APIs and integration patterns to help other engineering teams utilize AI capabilities
- Establish lightweight, ethical standards and guardrails for responsible AI deployment
- Create reusable technical components to accelerate future AI implementations across the business
- Champion AI-native engineering practices, elevating team capability through demonstration and visible excellence
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What They’re Looking For
Essential
- Advanced engineering capability in TypeScript, Node.js, and modern AWS cloud environments
- Fluency in AI-native development, including prompt engineering, context management, and building agentic systems
- Practical understanding of ML/AI fundamentals, such as RAG architectures, embeddings, and fine-tuning
- Ability to navigate ambiguity, making confident architectural decisions in a fast-paced, highly iterative environment
- Strong collaboration skills, with the ability to translate technical trade-offs to non-technical stakeholders clearly
- Excellent judgment in balancing rapid experimentation with the need for reliable, production-ready code
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Nice to Have
- Previous experience in media, content licensing, or data-intensive domains
- Knowledge of modern cloud infrastructure, serverless architectures, and infrastructure as code
- Familiarity with observability tools for debugging complex, multi-component AI systems
- Active participation in the open-source AI community or a background in ML engineering
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