Job Summary :
Zenith is one of Publicis Groupe’s largest media agencies, known for its expertise in media and strategic planning. They are seeking an AI Engineer to lead the design, development, and deployment of AI-powered systems, focusing on large language models and production-grade ML infrastructure.
Responsibilities :
• Design, build, and maintain production AI/ML systems, including LLM-based applications, agentic workflows, multi-model pipelines, and advanced retrieval systems
• Explore and prototype cutting-edge AI capabilities beyond standard patterns, such as autonomous agents, tool-use frameworks, reasoning chains, and self-improving systems
• Develop and optimize prompt engineering strategies, fine-tuning approaches, and evaluation frameworks for generative AI models
• Architect and implement MLOps pipelines for model training, versioning, deployment, and monitoring using Azure DevOps and cloud infrastructure
• Build robust APIs, backend services, and frontend interfaces to integrate AI capabilities into internal and customer-facing products
• Evaluate and integrate foundation models (OpenAI, Anthropic, Google) based on performance, cost, and latency requirements
• Implement guardrails, safety mechanisms, and observability tooling for deployed AI systems
• Collaborate with product, data, and engineering teams to identify high-impact AI use cases and translate them into technical solutions
• Follow engineering best practices, including code review, testing, CI/CD, and documentation for AI codebases
• Stay current with the rapidly evolving AI landscape and drive adoption of emerging tools, frameworks, and techniques
Qualifications :
Required :
• Strong software engineering fundamentals in Python and JavaScript, with experience in production-grade application development
• Proficiency in modern JavaScript frameworks such as React and Angular for building AI-powered user interfaces and tooling
• Deep hands-on experience with LLMs, prompt engineering, and generative AI frameworks (LangChain, LlamaIndex, or similar)
• Experience with advanced AI patterns beyond basic RAG, including autonomous agents, multi-step reasoning, tool use, and multi-model orchestration
• Proficiency in MLOps tooling and practices: model serving (e.g., vLLM, TGI), experiment tracking, and CI/CD for ML
• Strong experience with Azure DevOps for pipeline management, release automation, and infrastructure-as-code
• Solid knowledge of cloud infrastructure, networking, and security on AWS and Azure
• Hands-on experience with AWS services including S3, Lambda, EC2, and related compute and storage offerings
• Working knowledge of relational and specialized databases, including PostgreSQL, Amazon Redshift, Qdrant (vector database), and Redis
• Experience with containerized deployments (Docker, Kubernetes) and infrastructure automation
• Solid understanding of software architecture patterns, API design (REST/GraphQL), and distributed systems
• Experience with model evaluation, A/B testing, and performance benchmarking for AI systems
Preferred :
• You build AI systems that are production-ready from day one: reliable, observable, and maintainable
• You think beyond off-the-shelf solutions and are excited to explore what is newly possible with AI
• You think in terms of architecture and scalability, not just proof-of-concept demos
• You proactively identify failure modes, edge cases, and safety considerations before they reach production
• You can operate independently while collaborating effectively across engineering, product, and data teams
• You communicate complex technical concepts clearly to both technical and non-technical stakeholders
Company :
Zenith is an ROI agency that offers performance marketing, brand content, and strategic marketing effectiveness consultancy services. Founded in 1988, the company is headquartered in London, GBR, with a team of 5001-10000 employees. The company is currently Late Stage.