At Intrinsic, we are using disruptive technologies to solve some of the oldest and most complex problems of our digital age in anti-abuse, fraud prevention, and brand safety. Online abuse is an elaborate video game of cat-and-mouse. We move fast, and so do our adversaries.

Variance is building an AI platform for managing adversarial risk and investigations.

We apply AI agents to investigate billions of events daily to protect millions of users from fraud and abuse. We are hiring a forward-deployed engineer who will own the strategy and implementation of our product into customer data backends to solve real problems at massive scale. Our customers include Fortune 500 companies and tech unicorns, and we are rapidly growing.

This is an in-person position. Our office is located in San Francisco, CA.

What will your day-to-day look like

• Own the end-to-end integration strategy of Intrinsic to our enterprise customers
• Understand and partner with customers to understand their needs and set their strategy with Intrinsic
• Build GenAI-powered agentic workflows and automation for billion-scale events
• Serve as the primary, ongoing technical point of contact for our users

Requirements

• Outstanding communication and interpersonal skills, with the ability to work effectively in a team-oriented environment
• Past experience working with LLM solutions, and a deep understanding of GenAI
• Strong Coder with proficiency in Python, Java, Typescript, or similar
• Self-directed and comfortable working with ambiguity

What we offer

• Health care: we offer platinum-level medical, dental, and vision insurance
• Unlimited PTO, sick leave, and parental leave
• Up to $100 in reimbursement for personal health & wellness expenses each month
• Free lunch and dinner
• 401(k) plan

• AI services (LLM infra: hosting, fine-tuning and operationalization of open source foundational models)
• Frontend: NextJS, Typescript, and React
• Backend: NextJS and Python for ML inference
• Infrastructure hosted on GCP with Kubernetes and orchestrated using Terraform.
• ML services and training: Python
• Real-time and streaming technologies