Nathan Wills

Lead AI Engineer Location: United Kingdom, Remote or Hybrid Salary: Competitive, dependent on experience About the Company An established global technology platform specialising in digital publishing and print infrastructure is launching a new AI venture focused on transforming how printed content is created. The company is building an AI powered design editor that allows users to generate fully customised, print ready designs directly from natural language prompts. Instead of relying on templates, the platform generates original layouts, graphics, and structured outputs automatically. This is a newly formed AI venture backed by an existing global platform, offering the opportunity to build a product from the ground up while benefiting from the support and infrastructure of an established organisation. The Role The company is now hiring a Lead AI Engineer to design and build the backend systems that power the AI workflows behind the product. This role sits at the intersection of backend engineering and applied AI. You will be responsible for architecting scalable AI systems that translate user prompts into structured, production ready design outputs. You will work closely with product and engineering teams to develop the core AI infrastructure, ensuring the system is reliable, scalable, and capable of supporting high traffic production workloads. Key Responsibilities Design and build backend systems supporting AI driven design generation Develop and maintain LLM pipelines and agent based AI workflows Architect scalable APIs and services using Python frameworks Build infrastructure that supports high volume AI inference and real time workloads Collaborate with product teams to translate user prompts into structured outputs and workflows Ensure reliability, observability, and performance across AI systems Contribute to the technical direction of a new AI product from its earliest stages Required Experience Strong experience building production backend systems using Python Experience working with FastAPI, Pydantic, or similar modern Python frameworks Hands on experience building or deploying LLM based systems Experience with agent architectures, RAG systems, or LLM pipelines Strong understanding of scalable system design and distributed infrastructure Experience deploying machine learning or AI systems into production environments Desirable Experience Experience with generative AI systems or content generation workflows Experience with containerisation and cloud infrastructure Previous experience in startup or early stage product environments Why Join Opportunity to help build a new AI product from the ground up Backed by an established global technology platform Work on cutting edge generative AI systems applied to real world creative workflows Small, highly technical team with significant ownership and impact

AI Product Manager - GenAII’m currently working with an AI native company that recently raised €3M and is building a series of vertical AI agents designed to automate real operational workflows across multiple industries.They already have a strong engineering team and are now looking for a Product Manager who can sit very close to engineering and help drive the pace of building and shipping AI products.This is not a traditional roadmap focused PM role. The person coming in will be heavily involved in hands on product development around AI agents, working with engineers on prompting, prototyping, defining agent behaviour, and helping run evaluation workflows to improve model performance.They are looking for someone comfortable operating in an early stage AI environment, where product ideas move quickly from concept to prototype to shipped product. The PM will also spend time speaking with customers to understand workflows and help design how these AI agents can solve real operational problems.The company operates more like an AI lab, identifying opportunities for automation, building AI agents around them, and then taking the successful products to market.If you are currently building AI driven products or exploring agent based systems, it could be a genuinely interesting conversation.