Staff Software Engineer

Role Responsibilities:

• Design and build AI and agentic systems that analyze organizational data to catch policy violations, compliance risks, and governance issues, often from ambiguous, non-deterministic signals.
• Build agents and pipelines that use LLMs to reason over large volumes of data, going well beyond deterministic, rule based checks.
• Architect and build knowledge graph systems that model organizational structure and relationships, and make that context usable by agents.

Key Requirements:

• A track record of building AI systems as a creator, not a consumer, with deep experience in agentic workflows and shipped systems.
• Experience building or working with knowledge graphs in a real, shipped system, using tools like Neo4j, Cypher, or Amazon Neptune.
• Hands on experience with LLM provider APIs and agent frameworks such as LangChain or LangGraph.

Preferred Experience:

• Experience building security, risk, or compliance related tooling, especially anything involving policy or violation detection.
• Prior experience at a company building agentic or AI-native products rather than bolting AI onto an existing product as a feature.
• Comfortable working fully remote, across time zones, on a small and highly autonomous team.