AI Engineer

Job Description:

About Us

You join a global media organization that creates the future of content advertising and audience engagement. Our product organization develops datadriven technologypowered solutions that help clients connect with audiences in meaningful ways.

Role Overview

As an AI Engineer you design build and deploy AI capabilities that advance our products and deliver measurable business outcomes. You work with product managers data scientists engineers and crossfunctional partners to build scalable systems that support content personalization audience analytics creative optimization and related use cases.

What You Do

• Build AI solutions by designing and maintaining productionready systems that support media products.

• Collaborate with crossfunctional teams to translate business needs into scalable technical solutions.

• Deploy and scale systems in production environments with a focus on reliability performance and global impact.

• Improve models continuously using realworld performance data and feedback loops.

• Explore new approaches by researching AI and ML advancements and prototyping solutions that enhance our products.

• Promote responsible AI by applying fairness transparency privacy and compliance standards in every system you create.

What You Bring

• Masters degree in computer science engineering or a related field. A PhD is welcome but not required.

• Strong Python skills with experience using LLM orchestration libraries such as LangChain LlamaIndex or Semantic Kernel.

• Experience working with enterprise LLMs and their APIs including understanding performance challenges and mitigation strategies.

• Production experience building and integrating APIs including RESTful API conventions and tools such as FastAPI.

• Experience combining multiple techniques for improving LLM output quality such as prompt engineering multiagent orchestration structured output validation hybrid RAG incontext learning and related methods.

• Proficiency in document processing workflows including text extraction chunking and embedding.

• Experience monitoring and improving AI systems. Familiarity with tracing tools such as Arize OpenTelemetry or LangSmith is a plus.

• Strong foundation in data science including statistical methods and working with structured and unstructured data.

At dentsu we believe great work happens when were 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 $136000 - $219075. 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 .

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.

Location:

Brand:

Time Type:

Contract Type: