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About the Role
We are looking for an AI Engineer to join the Publicis Production AI team to build the next generation of AI-powered products and workflows for content and campaign creation. The role combines backend engineering with applied AI, focusing on designing and building scalable Python services and APIs, orchestrating large language models, and developing agentic and GenAI pipelines.
Responsibilities
- Design, develop, and maintain scalable backend APIs and microservices in Python, primarily using FastAPI.
- Build orchestration layers that connect and manage multiple Generative AI models and providers.
- Design and implement agentic workflows using modern orchestration patterns.
- Create innovative end-to-end GenAI pipelines for advertising and campaign creation.
- Develop reusable AI components and services.
- Integrate third-party AI APIs and SDKs.
- Implement Retrieval-Augmented Generation (RAG), embeddings, vector search, structured data retrieval, and grounding approaches.
- Evaluate models and prompting strategies for quality, latency, reliability, safety, and cost.
- Build robust data-processing and asynchronous workflows.
- Implement production engineering best practices including automated testing, API validation, error handling, logging, monitoring, tracing, rate limiting, caching, and performance optimization.
- Deploy and operate AI services in cloud environments, primarily Azure and Google Cloud Platform (GCP).
- Collaborate with frontend, platform, DevOps, product, and data teams.
- Participate actively in agile product delivery through technical design, sprint planning, code reviews, pull requests, documentation, troubleshooting, and continuous improvement.
- Stay current with rapidly evolving Generative AI technologies and identify opportunities for production features.
Requirements
- Master’s degree in Computer Science, Engineering, Mathematics, Artificial Intelligence, or a related technical field, or equivalent practical experience.
- Strong Python engineering skills and experience building production-quality backend applications or services.
- Hands-on experience designing REST APIs, ideally with FastAPI.
- Good understanding of software engineering principles including modular architecture, object-oriented and functional programming patterns, testing, maintainability, and code quality.
- Practical understanding of Generative AI concepts including LLMs, agents, RAG, embeddings, structured outputs, tool/function calling, multimodal models, text-to-image, and diffusion-based generation.
- Experience using APIs or SDKs from leading AI providers such as OpenAI, Gemini/Vertex AI, Claude, Adobe Firefly, or equivalent platforms.
- Experience with agent or workflow orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or equivalent patterns is a strong advantage.
- Familiarity with cloud platforms, preferably Azure or Google Cloud Platform (GCP).
- Strong knowledge of Git and collaborative development practices including branching, pull requests, code reviews, and CI/CD workflows.
- Ability to move comfortably between experimentation and production engineering.
- Strong problem-solving skills, curiosity, and the ability to learn quickly.
- Ability to collaborate effectively with engineers as well as product, design, creative, and production stakeholders in an international team.
Skills
- Python
- FastAPI
- Generative AI
- LLMs
- Agents
- RAG
- Embeddings
- Structured Outputs
- Tool/Function Calling
- Multimodal Models
- Text-to-Image
- Diffusion-based Generation
- OpenAI API/SDK
- Gemini/Vertex AI API/SDK
- Claude API/SDK
- Adobe Firefly API/SDK
- LangGraph
- LangChain
- Semantic Kernel
- Azure
- Google Cloud Platform (GCP)
- Git
- CI/CD
Location
- Remote
Work Type
- Full-time
- Remote
Experience Level
- Mid-level
Education Level
- Master’s degree in Computer Science, Engineering, Mathematics, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Benefits
- Ability to work remotely up to 2 days per week
- Opportunity to work worldwide for up to 6 continuous weeks each year (Talents Work Your World Program)
- Continuous professional development through 30,000 e-learning modules and LinkedIn Learning certifications on the Marcel platform
About the Company
- Within Publicis Groupe’s Intelligent Creativity business, we specialize in bringing creative ideas to life, and to consumers.
- By combining 100 years of craft excellence with 6,000 experts across 52 locations of the world’s biggest studio network, we leverage the industry’s richest data, through the power of agentic AI, to radically redefine content production with Intelligent Content.
- We intuitively deliver this through Marcel Make, the world’s first Intelligent Content agent.
- The Publicis Production AI team leads innovation in generative AI, developing and deploying large language models (LLMs) and advanced AI technologies for business impact.
Equal Opportunity
- Viva La Différence! This philosophy of Publicis Groupe demonstrates our commitment to diversity and the belief that our talents are our greatest asset.
- We value all individualities, regardless of age, gender, skin color, social origin, religion, or sexual orientation… only competence and energy count!
- We encourage all qualified applications and will be happy to provide personalized support throughout the recruitment process for candidates with disabilities who request it.
- Publicis France is committed to equal opportunities and equity for all.