Agent Engineer

Design and ship production-grade AI agents. You will build agents that make high-stakes decisions inside our customers' risk operations: fraud investigations, KYB and KYC reviews, AML workflows, and marketplace integrity.

Own the agent development lifecycle end to end. You will take agents from initial pilot through deployment and continuous iteration. That means scoping the workflow with the customer, engineering the context and tools the agent needs, building evals that actually measure decision quality, and tuning performance against real production data. You set the bar for what a well-built agent looks like.

Work directly with enterprise customers. You will sit with risk, fraud, and compliance leaders at some of the world's largest companies to understand how their investigators actually work, then encode that judgment into agents. You will see your work change how these teams operate within weeks.

Shape the platform. Your work in the field drives the evolution of Variance's core platform, including the context engine, entity graph, and agentic review automation. The patterns you discover building for one customer become the primitives every customer gets.

Strong software engineering fundamentals and experience shipping end-to-end production systems

Strong people and communication skills. Experience communicating complex technical concepts to non-technical stakeholders and executives.

Hands-on experience building with LLMs, including prompt and context engineering, tool use, RAG, and evals, plus calibrated instincts about what models can and cannot do reliably

Strong problem-solving in ambiguous, fast-changing environments. You can take a fuzzy customer workflow and turn it into a working system

Comfort working directly with customers and translating business needs into technical decisions

Excellent written and verbal communication with both technical and non-technical audiences