Quick overview
Job description
This role is a key part of a dedicated design team driving creative innovation within the enterprise Marketing Team of a global leader in the Tech industry. As the first hire of this profile for a newly formed creative production model, you will be the technical architect behind the studio's automated and agentic production pipelines, building tools that allow us to scale paid media creative across EMEA at speed.
You will not just use AI tools, you will build them. You will be responsible for engineering the agentic infrastructure, custom internal applications, and automated workflows that power the creative studio. This includes building custom agents in platforms like Claude, context-engineering multi-modal workflows, and handling the technical plumbing required.
We need a technically fluent engineer with a deep curiosity for creative workflows. You will build systems that can automatically read design systems, understand template libraries, process creative performance APIs, and generate scaled static and video ads. You bring a logical, builder mindset to translate complex creative requirements into robust, automated software solutions.
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.
Knowledge, Skills & Experience
* Proven experience building agentic tools, multi-agent frameworks, and automated workflows using orchestration libraries like LangChain, CrewAI, or StackAI.
* Deep programmatic fluency with LLM APIs (specifically Anthropic Claude and OpenAI SDKs), vector databases (such as Pinecone or Chroma), and retrieval-augmented generation concepts.
* Hands-on experience developing with Model Context Protocol (MCP)
* Strong software development fundamentals in Python and JavaScript/Node.js with extensive experience building, connecting, and securing REST APIs.
* Familiarity with context engineering, prompt architecture, and structured data formats (JSON, XML) used to drive automated design and video workflows.
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