Lead AI Agent Engineer

Company Description

Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide. We help brands break down silos and turn data into decisive action through intelligence-driven, end-to-end solutions that unify media, content, operations and strategy. Powered by advanced AI, robust digital shelf analytics across 1,400+ retailers in 70 countries and unmatched expertise from digital commerce specialists in 15 global hubs, our integrated solutions help brands accelerate profitable growth. Learn more at profitero.com

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.

Responsibilities

Key Responsibilities:

• 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.

Qualifications

• 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.

Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected]. All your information will be kept confidential according to EEO guidelines.

Compensation Range: $112,290 - $172,032. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 3/2/26.