AI Engineer, Generative AI Agents

LG Ad Solutions•Mountain View, CA

70d•Onsite

About The Position

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.

Requirements

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

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.