AI Engineer
$136k - $207.08kDentsu
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
Chicago - N. State Brand:
Dentsu Time Type:
Full time Contract Type:
Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to View email address on click.appcast.io by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
- 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.
- 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.
- 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
- 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.
Chicago - N. State Brand:
Dentsu Time Type:
Full time Contract Type:
Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to View email address on click.appcast.io by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Vacancy posted 5 days ago
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