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# AI, Content Intelligence Engineer

- **Company:** Publicis Groupe
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $168,150.0
- **Contract:** Temporary contract
- **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Systems Architecture, Systems Integration, Workflow Management Systems, Large Language Models, Generative AI, Git Flow, Kubernetes, Adobe Workfront, Terraform, Docker, Microservices
- **Published:** June 12, 2026
- **Apply:** https://www.juju.com/job/00000000g7qp0r

## About the Role

+ 7-10+ years in software engineering, AI/ML engineering, or related fields

 + 2-5+ years' experience in content production-grade software

 + Strong Python proficiency and experience with modern AI/ML frameworks

 + Experience building and deploying production-grade systems

 + Familiarity with LLMs, RAG, generative models, and cloud-native architectures

 + Experience with APIs, microservices, and system integration

 + Ability to translate complex requirements into scalable engineering solutions

 + Strong collaboration skills across technical and non-technical teams

What Success Looks Like

 + PoCs consistently evolve into production tools used by operators

 + AI-powered systems are embedded into content production workflows

 + Capabilities are delivered as reusable, scalable services

 + The organization operates as a product-building engine, not just strategy

 + AI becomes infrastructure within production, not experimentation

Technical Competencies

 + Python, APIs, and modular system architecture (microservices)

 + LLMs, advanced prompt engineering system design, and RAG pipelines

 + Vector databases (e.g., Pinecone, FAISS) and data modeling (SQL)

 + Generative AI systems (diffusion models, ComfyUI) and fine-tuning methods (LoRA)

 + Cloud platforms (GCP/AWS), Docker, Kubernetes, and Terraform (IaC)

 + CI/CD pipelines (Git-based workflows, automated build/test/deploy)

 + Workflow orchestration and enterprise integrations (DAM, CMS, Workfront)

 + Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)



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