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Selected role

Senior AI Engineer

Publicis Groupe Wokingham, ENG, GB

Senior Full-time

Location: Reading and London hybrid flexible

Experience: 3+ Years with AI

*We are unable to provide sponsorship for this job vacancy.

Role Overview:**

We are seeking a highly skilled and motivated Senior AI Agent Engineer with a strong background in building agentic AI applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI's GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools.

Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar).

Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization.
Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search.
Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.
Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration.
Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.
Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling.
Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.
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.
Contribute to the architecture and technical roadmap of our AI initiatives.
Mentor junior engineers and share knowledge within the team.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications.
Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks.
Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models.
Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems.
Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar).
Practical experience with RAG architectures, embeddings, vector databases, and semantic search.
Experience working with Model Context Protocol (MCP) Servers.
Experience with RESTful APIs and integrating external services.
Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.
Experience with Snowflake is a plus.
Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
Strong communication skills, both written and verbal.

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