AI Engineer

2 Months ago • All levels • Research Development • $94,000 PA - $182,250 PA

Job Summary

Job Description

As an AI Engineer, you will design, build, and deploy artificial intelligence capabilities to drive business value and improve global products. The role involves collaborating with product managers, data scientists, engineers, and stakeholders to create scalable AI systems. Key responsibilities include developing AI solutions, collaborating with teams, implementing AI models, continuous improvement, staying current with AI advancements, and ensuring ethical AI practices. The role requires expertise in Python, LLM orchestration, API integration, document processing, and cloud platforms.
Must have:
  • Master’s degree in Computer Science or related field
  • Strong Python skills and experience in LLM orchestration
  • Experience with enterprise LLMs and their APIs
  • Production experience with API conventions and integration
  • Experience in prompt engineering and multi-agents
  • Proficiency in document processing pipelines
  • Experience in measuring and improving AI systems
  • Strong foundation in data science fundamentals
  • Experience with cloud platforms (AWS, GCP, Azure)
Perks:
  • 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
  • Paid parental leave

Job Details

Job Description:

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 models 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

· Master’s degree in Computer Science, Engineering, or related field (PhD a plus).

· Strong Python skills, with experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches.

· Demonstrated experience with enterprise LLMs – their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.)

· Demonstrated production experience with API conventions and integration into pipelines, e.g. RESTful API, FastAPI, or similar.

· Demonstrated experience 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.

· Proficiency with document processing pipelines (text extraction, chunking, embedding)

· Demonstrated production experience with measuring and improving AI systems, tracing and AI observability (e.g. Arize, OpenTelemetry, LangSmith)

· Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data

· Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.

#LI-MS3 #LI-Remote

The annual salary range for this position is (94,000-$182,250). 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.

Location:

USA - Remote - Maryland

Brand:

Merkle

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 ApplicantAccommodations@dentsu.com 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.  

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About The Company

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.

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