AI Engineer

Our client, a global leader in SaaS solutions is now seeking a Creative Technologist to join their team. This role is a key part of a dedicated design team driving creative innovation you will be the technical architect behind the studio’s automated and agentic production pipelines, building tools that allow them to scale paid media creative across EMEA at speed.

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 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.

• 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.
• An understanding of creative assets and production metadata. Knowing how to programmatically interact with design systems, template libraries, or video rendering engines is a massive plus.
• Exceptional technical problem-solving skills, with the ability to build functional, scrappy prototypes quickly and scale them into stable internal tools.

• Strong communication skills, with the unique ability to sit comfortably between highly technical development workflows and creative design teams.

• Bachelor’s degree in engineering or related field