Senior Agentic AI Engineer - Creative Automation - London

Key Responsibilities

• Design, build, and deploy agentic workflows and custom internal tools utilizing Anthropic Claude, OpenAI, and API ecosystems to automate the generation of static and video ad assets.
• Architect and manage Model Context Protocol (MCP) Servers and configurations, establishing secure, standardized connections between LLM applications and our external tools, data sources, and asset repositories.
• Develop and maintain the technical plumbing and API integrations connecting performance data pipelines, media libraries, and production software.
• Engineer advanced context and prompt frameworks, utilizing MCP and other tooling to ensure context such as brand guidelines, design specs, program specific data sources are accessible and agent-readable.
• Build automated agents capable of reading design systems, parsing creative template libraries, and outputting production-ready static and video assets.
• Support the operational growth of the studio by architecting automated QA/QC and performance reporting tools.
• Collaborate closely with the Creative Strategist and Designers to translate creative hypotheses and workflow bottlenecks into technical code requirements.
• Maintain clean, documented code for all internal tools, agents, and custom integrations, ensuring workflows are stable, repeatable, and easily scalable across the region.

Skills & Experience

• Proven experience building AI agents, agentic workflows, and multi-agent systems using tools such as LangChain, CrewAI, StackAI, or similar frameworks.
• Strong experience with Anthropic Claude, OpenAI APIs, RAG architectures, and vector databases (Pinecone, Chroma, etc.).
• Hands-on experience with Model Context Protocol (MCP).
• Strong software engineering background in Python and JavaScript/Node.js.
• Extensive experience designing and integrating REST APIs.
• Solid understanding of prompt engineering, context engineering, and structured data formats such as JSON and XML.
• Excellent problem-solving and stakeholder communication skills.

Desirable

• Experience working with creative automation, design systems, DAM platforms, or video rendering technologies.
• Knowledge of marketing technology, advertising production, or creative operations.
• Experience building AI-powered tools in enterprise environments.
• Exposure to AWS, Azure, or GCP.

Education

• Bachelor's degree in Computer Science, Engineering, AI, or a related field.
• Master's degree or MBA preferred but not essential.