Founding Head of Engineering

What you will be doing Take ownership of the vision and development of agentic AI. This is a technical leadership and hands‑on role for someone who has already built agentic AI systems and has improved them while in production. You will own architecture and delivery, and set the engineering standard for how this work gets done.

You will work directly with lawyers to translate legal workflows into reliable AI systems. You will also serve as a team lead and play a critical role in hiring, managing and scaling the AI engineering team. Architect expert feedback loop, agents and knowledge base.

Develop an agent architecture with a knowledge base which can be used to dynamically insert expert feedback based on user context. Determine the process to convert feedback from our legal team's daily operations into knowledge base updates which can rapidly improve agent performance. Build evaluation infrastructure - including LLM-as-a-judge evals, feedback capture and regression testing.

Establish best practices for versioning, testing, deployment, and observability. Build features to gather user context while minimizing user effort (e.g., using web search and integrations like email, google drive) and using long-term and short-term memory to improve performance. Build tools to facilitate lawyer input into knowledge base updates, evals and other inputs to the agentic system that improve quality of results over time.

Monitor production systems, flag and resolve bugs. Stay on the frontier of both AI and legal AI. What you need 10+ years of software engineering experience (3+ years in Python) 5+ years tech lead experience: you've owned architecture decisions, led development, handled deployment and monitoring Hired and managed software engineers 1+ year building agentic systems in production, particularly Built systems with reasoning about goals, planning, tool calls and subagents Built context management and memory for agentic systems Built LLM-as-a-judge or similar evaluation frameworks Built expert-in-the-loop systems where domain experts continuously improve accuracy Experience working in an AI-native development manner using tools such as Claude Code, Cursor, Codex, or similar Worked in startup environment with high ambiguity, urgency, and ownership Experience with frontend or workflow UI development sufficient to collaborate effectively across the product stack Benefits Competitive salary and meaningful founding engineer level equity Unlimited PTO High impact work: Build the AI at the center of the largest and fastest growing legal AI product Fully covered health, dental, and vision. #J-18808-Ljbffr