> Markdown version of [/jobs/ext/3100796-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3100796-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Publicis Media - **Location:** London, UK - **Experience:** Expert - **Salary:** £55,000.0 - £95,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Engineering, Systems Integration, Workflow Management Systems, Software Organization, Large Language Models, Snowflake, Multi-Agent Systems, Software Application Programming, Generative AI, Backend, Git, Build Management, Scikit Learn, Information Technology, Virtual Agents, Restful APIs, Network Server, GPT, Software Version Control, Automation Anywhere, Api Management - **Published:** September 27, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5899592199 ## About the Role * We require a Bachelors or Masters degree in Computer Science, Engineering, Artificial Intelligence, or a related field. * We require a minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. * We require proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. * We require hands-on experience developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI GPT-4, Google Gemini, or similar generative AI models. * We require experience building agentic applications or workflows, including planning, memory, tool usage, and multi-agent systems. * We require familiarity with AI workflow orchestration and agentic frameworks such as LangChain, LangGraph, Crew AI, Haystack, or similar. * We require practical experience with RAG architectures, embeddings, vector databases, and semantic search. * We require experience working with Model Context Protocol (MCP) Servers. * We require experience with RESTful APIs and integrating external services. * We require a solid understanding of software development best practices, including version control (Git), testing, and CI/CD. * We prefer experience with Snowflake. * We require excellent problem-solving skills and the ability to work independently and as part of a collaborative team. * We require strong communication skills, both written and verbal. ## Description * We design, develop, and deploy LLM-based systems, agentic applications, and complex AI workflows using generative AI models and relevant frameworks. * We deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. * We design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search. * We build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. * We integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. * We develop robust, scalable, and maintainable Python code for backend logic and API integrations. * We implement testing, evaluation, and monitoring strategies to ensure performance, reliability, safety, effective reasoning, tool usage, and failure handling. * We collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions. * We stay up to date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. * We contribute to the architecture and technical roadmap of our AI initiatives. * We mentor junior engineers and share knowledge within the team. * We undertake such duties as may reasonably be requested within the scope of the post. Technologies: * AI * API * Backend * CI/CD * Git * LLM * MCP * Python * RAG * Snowflake * Agentic AI * Marketing ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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