Senior Agentic AI Engineer – Creative Automation – London

Salt; Greater London; Hybrid; GBP 92,000 - 129,000; Part time

Job summary

Salt seeks a Senior Agentic AI Engineer to lead the building of AI-powered infrastructure and automated workflows for creative production in London. You will design agentic systems, integrate MCP, and connect design systems, content repos, and performance data into a scalable production ecosystem.

Responsibilities include developing agentic workflows with LangChain/OpenAI, architecting MCP servers, and delivering production-ready assets.

Qualifications

• Proven experience building AI agents and agentic workflows.
• Hands-on with Claude, OpenAI APIs, RAG, and vector DBs.
• Strong Python and JavaScript/Node.js background.
• Experience with REST APIs and integration patterns.
• Familiarity with MCP and context-aware design.

Responsibilities

• Design and deploy agentic workflows and internal tools for automated ad asset generation.
• Architect MCP servers and secure connections between LLMs and tools/data/repositories.
• Build API integrations linking data pipelines, media libraries, and production software.
• Develop context and prompt frameworks ensuring brand/design data is accessible to agents.
• Create automated QA/QC and performance reporting tools for studio operations.
• Collaborate with Creative and Design teams to translate needs into technical specs.
• Maintain clean, well-documented code across tools and integrations.

Skills

Agentic AI

LangChain

CrewAI

StackAI

Anthropic Claude

OpenAI APIs

MCP

Python

JavaScript/Node.js

REST APIs

Prompt engineering

Context engineering

JSON/XML

Education

Bachelor's degree in CS/Engineering/AI

Master's degree or MBA preferred

Tools

LangChain

CrewAI

StackAI

Pinecone

Chroma

Job description

Senior Agentic AI Engineer - Creative Automation - London Daily rate: £500 - £700 inside IR35 Duration: 12 months Hybrid: 3 days per week Start: ASAP

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.

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.

*Rates depend on experience and client requirements