Senior Agentic AI Engineer – Creative Automation

Hybrid in London·Added yesterday (last checked 10 Nov)

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Our summary

Salary: £500 - £700 a day
Work mode: Hybrid, London
Contract: Contract role, inside IR35
Experience: Senior level

Skills

Nice to have

Requirements

What we're looking for

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.

Nice to have

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 & certifications

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

The role

We are looking for a Senior Agentic AI Engineer to join a high-performing creative innovation team within the Enterprise Marketing function of a global technology leader.

As the first hire of this kind within a newly established creative production model, you will be responsible for building the AI-powered infrastructure, automated workflows, and custom tools that enable the rapid creation and scaling of paid media assets across EMEA.

This is a hands-on engineering role focused on designing agentic systems, MCP integrations, and intelligent automation that connect creative workflows, design systems, content repositories, and performance data into a seamless production ecosystem.

What you'll do

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.