What You'll Own
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
- 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
Strong software engineer with AI-native instincts, bias to building, strong product judgment, learning velocity, grounded optimism, and end-to-end thinking.
Experience
- 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
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.