Staff AI Engineer

LiveRamp • San Francisco, CA

23h

About The Position

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. You will: Design, implement, and deploy high-quality, scalable, and efficient LLM-based agents and foundational components, including prompt engineering, fine-tuning, building specialized tools/functions for agents, and designing sophisticated planning and memory mechanisms. Establish and implement rigorous evaluation methodologies (e.g., using LLM-as-a-judge, adversarial testing) to measure agent performance, reliability, safety, bias, drift, and effectiveness. Solve complex technical issues related to agentic systems. Provide technical guidance to a team of Data Scientists, ML Engineers and Software Engineers, modeling best practices in data infrastructure, experimental design, and scalable deployment (MLOps). Work closely with Product Management, Engineering, and Data Science teams to translate ambitious agent-based product requirements into actionable, high-impact agentic solutions. Your team will: Own and implement the platform supporting LiveRamp’s agentic solutions. About you: MS in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience). 5+ years designing and building data-intensive products and writing production-quality code. 1+ years building AI agents in a production setting. Demonstrated expertise in agentic AI concepts. Excellent written and verbal communication for both technical and non-technical audiences; strong influence skills across teams. Proficiency with Python and SQL and relevant ML libraries. Experience with Cloud Platforms such as GCP. A product-focused mindset and a strong bias for an iterative execution - you move quickly from idea to prototype to production.

Requirements

• MS in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience).
• 5+ years designing and building data-intensive products and writing production-quality code.
• 1+ years building AI agents in a production setting.
• Demonstrated expertise in agentic AI concepts.
• Excellent written and verbal communication for both technical and non-technical audiences; strong influence skills across teams.
• Proficiency with Python and SQL and relevant ML libraries.
• Experience with Cloud Platforms such as GCP.
• A product-focused mindset and a strong bias for an iterative execution - you move quickly from idea to prototype to production.

Nice To Haves

• Experience with embedding and vector search at scale.
• GCP + Vertex AI (Gemini) experience.
• Familiarity with MCP-style agent interfaces and semantic layer patterns for coordinating multiple agents/tools.
• Knowledge of privacy-preserving data practices and governance.
• Knowledge of privacy-preserving data practices and governance.

Responsibilities

• Design, implement, and deploy high-quality, scalable, and efficient LLM-based agents and foundational components, including prompt engineering, fine-tuning, building specialized tools/functions for agents, and designing sophisticated planning and memory mechanisms.
• Establish and implement rigorous evaluation methodologies (e.g., using LLM-as-a-judge, adversarial testing) to measure agent performance, reliability, safety, bias, drift, and effectiveness.
• Solve complex technical issues related to agentic systems.
• Provide technical guidance to a team of Data Scientists, ML Engineers and Software Engineers, modeling best practices in data infrastructure, experimental design, and scalable deployment (MLOps).
• Work closely with Product Management, Engineering, and Data Science teams to translate ambitious agent-based product requirements into actionable, high-impact agentic solutions.
• Own and implement the platform supporting LiveRamp’s agentic solutions.

Benefits

• People: Work with talented, collaborative, and friendly people who love what they do.
• Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
• Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
• Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.
• Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
• RampRemote: A comprehensive office equipment and ergonomics program—we provide you with equipment and tools to be your most productive self, no matter where you're located

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level