Forward Deployed AI Engineer

At Variance, 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. We move fast, and so do our adversaries.

Role

At Variance, we are teaching machines to make the hardest judgement calls at scale. That means building AI agents for the high-stakes gray-area of risk investigations, fraud, and identity reviews.

We’re a small, talent-dense team in San Francisco, with former founders and talent from top AI labs. Our customers include several Fortune 500s, global marketplaces, and regulated financial institutions. If you thrive on extreme ownership, moving fast, and working directly with founders, you’ll feel at home here.

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 Variance to our enterprise customers
• Understand and partner with customers to understand their needs and set their strategy with Variance
• 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