AI Engineer at Dentsu in Chicago, IL

Job description

Job Description: About Us We're a leading global media agency shaping the future of content, advertising, and audience engagement. As part of dentsu's global Data & Technology organization, we're building the AI behind dentsu's next-generation platform — frontier AI and real production engineering applied to media, creative, strategy, audiences, and optimization. You'll get startup-level ownership and speed with dentsu-scale reach and data, working on high-visibility products. Role Overview As an AI Engineer, you will design, build, and deploy artificial intelligence capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, engineers, and stakeholders to deliver scalable AI systems for content personalization, audience analytics, creative optimization, and more. Key Responsibilities AI Solution Development: Architect, develop, and maintain AI systems for media products. Collaboration: Partner with product, engineering, and data teams to translate business needs into technical solutions. Deployment & Scaling: Implement AI systems in production environments, ensuring reliability, scalability, and performance across global markets. Continuous Improvement: Monitor, evaluate, and iterate on AI models using real-world data and feedback. Research & Innovation: Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation. Ethics & Compliance: Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations. Requirements Must Have Masters Degree in Computer Science, Engineering, or related field (PhD a plus). Strong Python skills (3+ years) with production systems, not just experimentation and prototyping Demonstrated experience (1+ years) with enterprise LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.) Demonstrated production experience (3+ years) with API conventions and integration into pipelines, e.g. RESTful API, FastAPI, or similar. Demonstrated experience (2+ years) integrating multiple approaches for extracting highest-quality output from LLMs, e.g. prompt engineering, multi-agents, structured output validation, hybrid RAG, in-context learning (ICL), or NLP- or ontology-powered layering. Demonstrated production experience (4+ years) measuring and improving AI systems or traditional ML systems. Nice to Have Proficiency with traditional NLP and document processing pipelines (text extraction, chunking, embedding) Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data Experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches. Experience with tracing (e.g. Arize, OpenTelemetry, LangSmith) Experience with more complex AI systems at the application layer such as memory and advanced context management Fine tuning and automated system optimization Ability to work in a fast-paced environment with independence Interview Process A recruiter screen to get to know you, walk through the role, and align on compensation, work model, and sponsorship needs. A technical interview and working session with a team member — a chance to show your skills on a realistic problem straight from our world, and to see how we work. A final conversation with team leadership — your chance to ask anything, set expectations together, and make sure this is the right fit for you. At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to wo