Live Ramp 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, Live Ramp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust.
You will:
● Design and build AI agents and copilot experiences for defined internal use cases, with guidance on overall architecture and standards.
● Conduct prompt engineering analysis, troubleshooting, and continuous tuning of AI agents and responses for scoped problem areas.
● Create, maintain, and update robust automations using tools such as Workato, Okta Workflows, and Zapier.
● Implement agentic AI workflows and computer use models (leveraging Gemini, Claude, Open AI) alongside browser automation tools to automate multi-step tasks, partnering with senior team members on more complex or ambiguous workflows.
● Develop custom agentic actions and integrate them with enterprise platforms using Model Context Protocol (MCP) servers and APIs, following established patterns and best practices.
● Develop and troubleshoot Python scripts.
● Monitor and maintain workflow integrations, agents, and automations, identifying issues and proposing improvements within your area of responsibility.
Your team will:
● Collaborate on designing and implementing AI and automation solutions.
● Support each other in the ideation and creation of technical designs.
Ensure the seamless integration and maintenance of automation tools and workflows.
● Work closely with other departments to understand and fulfill automation needs. About you: ● Strong hands-on experience working with APIs and integrations.
● Proficient in Python.
● Experience contributing to the technical design of automation and AI solutions and presenting them to stakeholders across different departments (HR, Legal, Sales, Eng).
● Strong understanding of modern LLMs (Gemini, Claude, Open AI) and hands-on experience with prompt engineering and agentic design patterns.
● Ability to support other team members in design ideation, creation, implementation, and peer reviews.
● Excellent communication and collaboration skills.
● Strong problem-solving mindset, attention to detail, and a passion for driving internal productivity.
● Typically 3–5+ years of related experience in software engineering, data engineering, or automation/AI engineering (or equivalent practical experience).
Preferred Skills:
● Familiarity with i Paa S tools like Workato, Okta Workflows, and Zapier.
● Deep experience or strong interest in cross-department AI development, including working with MCP servers, APIs and agentic frameworks.
● Understanding of data pipelines (e.g., Big Query).
