• 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

• Use AI as core leverage in how you design, build, test, and iterate
• 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

Who You Are You are a strong software engineer who has built your skills for an AI-native world. The following operating principles should resonate with you:

• Bias to building: You move fast and resolve uncertainty by shipping software
• AI-native instincts: You treat LLMs, agents, and automation as fundamental building blocks and parts of the craft of engineering
• Strong product judgment: You can decide what matters and why, without waiting for guidance, not just how to implement it
• Learning velocity: You move fast, learn from feedback, and adjust based on data
• Grounded optimism: You improve what is broken today and are energized by what becomes possible next
• End-to-end thinker: You understand how systems behave in production and own outcomes

Experience We care more about capability and trajectory than years on a resume, but most strong candidates will have:

• Multiple years of experience shipping production software in complex, real-world systems
• Experience with TypeScript, React, Python, and Postgres
• Built and deployed LLM-powered features serving production traffic
• Designed retrieval pipelines and agent orchestration systems
• Implemented evaluation frameworks for model outputs and agent behaviors
• Worked with vector databases, embedding models, and RAG architectures
• Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic, etc.) and agent frameworks
• Comfort operating in ambiguity and taking responsibility for outcomes
• Deep empathy for professional-grade, mission-critical software (experience with audit and accounting workflows are not required)

What Should Excite You

• Agent reliability at enterprise scale: Building systems that professionals depend on
• Balancing automation with human oversight: Knowing when to automate and when to surface decisions to experts
• Building evaluation systems when ground truth is nuanced: Audits require judgment, so structuring data in ways to get feedback is essential
• Explaining AI decisions: Making all forms of AI outputs and agent reasoning transparent and trustworthy
• Operating in a complex industry: Understanding compliance constraints and enterprise rigor while also moving fast
• Applied engineering where you ship agent experiences customers depend on daily

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.

Our Values

• Fearless — Inspire & break down seemingly impossible walls
• Fast — Launch fast with excellence; iterate to perfection
• Lovable — Deliver happiness & 11-star experiences
• Owners — Execute & run the business with ownership
• Win-win — Create mutual value & earn trust for life
• Inclusive — Scale the best ideas with inclusive teams

Compensation Range: $170K - $310K