- New York City, New York, United States
- Hybrid
- Full-time · Senior
- $250K–$400K per year
A technical role focused on building and advancing AI-native agentic harnesses, multi-agent workflows, and learning systems for professional services and legal firm platforms.
Compensation
Base salary: $250,000 to $400,000 per year
Responsibilities
- Advance our multiplayer agentic harness so humans, agents, firm systems, and clients can collaborate on shared work with the right context, permissions, and accountability.
- Design multi-agent workflows using orchestration and actor models so agents can divide work, coordinate with people and other agents, and recover when plans change.
- Build shared task and state management so work moves reliably between agents, attorneys, clients, and firm systems without losing context or ownership.
- Make agents more effective across software through computer use and deep integrations with the systems a professional services firm depends on.
- Turn expert interactions into learning signals by capturing how people delegate, correct, and review work, along with the context behind their decisions.
Requirements
- Nice to have: Hands-on experience with AI tools
- Nice to have: AI research experience