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LG Ad Solutions

AI Engineer, Generative AI Agents

Reposted 9 Days Ago
In-Office
Denver, CO
Senior level
In-Office
Denver, CO
Senior level
Design and develop Generative AI agents for intent recognition and query decomposition, integrating them with internal and third-party systems, while ensuring operational efficiency and self-service data capabilities.
The summary above was generated by AI

We require people to be on-site, 4 days/week at our Denver office and are unable to offer relocation support.

About LG Ads:

LG Ads is a leading global ad solutions company, transforming the advertising landscape through innovative technologies. We are building the future of AdTech with our A.I. Data System (ADS), our proprietary AI agent designed to enhance every aspect of our business, from internal operations to external partner experiences.

Job Summary:

LG Ads is seeking a highly skilled and motivated AI Engineer specializing in Generative AI Agents to join our dynamic AI team. You will play a crucial role in designing, developing, and deploying AI agents that will drive efficiency, unlock new revenue streams, and provide self-service data capabilities across the organization. This role requires expertise in intent detection, complex query decomposition, and context engineering, with a strong background in agile development methodologies and the ability to thrive in an ambiguous, fast-paced environment.

Responsibilities:

  • Design and develop intelligent AI agents capable of intent recognition and decomposing complex queries into smaller, executable tasks that run in sequence or parallel.

  • Implement and optimize context engineering techniques to ensure agents leverage relevant short and long-term memory, as well as our aggregated knowledge base, for accurate and insightful responses.

  • Integrate AI agents with internal systems such as ACR, Mosaic, and Salesforce, and third-party services like SpringServe and DSPs.

  • Contribute to the development of the LLM Service Hub, ensuring consistent model access and inference for various AI applications.

  • Utilize and contribute to the development of standardized tooling protocols to streamline integration and maintenance of AI agents.

  • Collaborate with cross-functional teams, including product, and business units, to identify and build AI solutions that span the entire company.

  • Develop and implement solutions for operational efficiencies, such as automating media planning and integrating agents into Mosaic (Home Grown DSP).

  • Build client-facing tools for voice and natural language data queries, supporting custom data and contributing to data monetization efforts for the ACR platform.

  • Automate repetitive tasks in General & Administrative (G&A) functions, starting with Finance, and expanding to HR and IT Operations.

  • Enable self-service data access and analysis using AI agents, supporting diverse data sources.

  • Participate in agile development sprints, actively contributing to planning, execution, and review.

  • Manage ambiguity and adapt to evolving requirements in a rapidly developing AI landscape.

Required Skills and Qualifications:

  • Proven experience in designing and developing Generative AI agents.

  • Strong expertise in intent detection and complex query decomposition.

  • Demonstrated experience with context engineering for AI models.

  • Proven understanding of knowledge graphs and/or vectorization as it relates to LLMs

  • Proficiency with DSPy for developing and optimizing language models.

  • Solid understanding of large language models (LLMs) and their application in enterprise solutions, including foundational models like Llama 4 Maverick, Claude, and OpenAI.

  • Experience with cloud platforms, particularly AWS, for scalable compute and storage resources.

  • Familiarity with Databricks for processing structured and unstructured data, and its use as a runtime for agents and MCPs.

  • Experience working in an agile development environment.

  • Ability to work independently and collaboratively in a fast-paced, ambiguous setting.

  • Excellent problem-solving, communication, and interpersonal skills.

  • Experience in Databricks / Snowflake and all the associated AI components

  • Experience in AWS ( or the two other big clouds) and the associated AI Services

Education:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [email protected] to let us know the nature of your request.

Top Skills

AWS
Claude
Context Engineering
Databricks
Dspy
Generative Ai
Intent Detection
Knowledge Graphs
Large Language Models
Llama 4 Maverick
Openai
Snowflake
Vectorization

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