AI Engineer (All Levels)

Requirements

• Building and shipping AI agents
• Design, build, and ship agentic systems that automate and augment complex audit workflows
• Translate customer problems into concrete agent behaviors and workflows
• Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
• Own agents in production, including performance and observability
• AI-native engineering execution
• Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability
• Build evaluations, feedback mechanisms, and guardrails so agents improve over time
• Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale
• Product judgment and customer impact
• Make tradeoffs about what to build, what to cut, and what not to build at all
• Partner closely with Product and Design to define agent capabilities that drive real customer outcomes
• Stay deeply connected to how customers actually use agents and optimize for the highest impact problems
• Identify the highest-leverage capability gaps and unblock them without waiting for direction
• Ownership of large product areas
• Take full ownership of large product areas rather than executing on narrow tasks
• Identify bottlenecks and unblock progress without waiting for direction
• Increase team velocity by building reusable abstractions, tools, and patterns for agent development

Benefits

• Competitive compensation packages with equity ownership
• Comprehensive health and wellness benefits
• Flexible time off and work schedules
• Technology reimbursements
• 401(k) plan
• Twice-yearly in-person offsites across the U.S.