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 work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
The annual salary range for this position is $136,000 - $207,075.
Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
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 work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
Location:
Chicago - N. StateBrand:
DentsuTime Type:
Full timeContract Type:
PermanentDentsu 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 [email protected] 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.
Skills Required
- Master’s degree in Computer Science, Engineering, or a related field
- 3+ years of strong Python experience with production systems
- 1+ year of experience with enterprise LLMs and their APIs
- 3+ years of production experience with API conventions and integrations, such as RESTful APIs or FastAPI
- 2+ years of experience integrating approaches such as prompt engineering, multi-agent systems, structured output validation, hybrid RAG, in-context learning, or NLP/ontology layering
- 4+ years of production experience measuring and improving AI or traditional machine learning systems
- PhD in a related field
- Experience with traditional NLP and document processing pipelines
- Data science fundamentals, statistical methods, and structured/unstructured data experience
- Experience with LLM orchestration libraries, chain-of-thought, and structured reasoning approaches
- Experience with tracing tools such as Arize, OpenTelemetry, or LangSmith
- Experience with application-layer AI systems, memory, and advanced context management
- Experience with fine-tuning and automated system optimization
- Ability to work independently in a fast-paced environment
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
-
Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
-
Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
-
Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
