Location: San Francisco - On-site
Employment Type: Full Time
The RoleAs an early AI Engineer, the engineer owns the core of the system: the agentic harness that handles tool routing, policy, and memory, and the context graph it reasons over. The central challenge is reliability. These agents act on real money, on top of data that's messy, contradictory, and spread across many parties, and an agent that's right 95% of the time isn't good enough. Much of what this requires hasn't been solved anywhere yet.
The role comes with real product ownership. The engineer ships to production, works directly with how enterprise customers operate, and shapes what the platform becomes. The scope looks more like an early technical founder's than a spec to implement.
What the Engineer Will Build- The agentic harness at the center of the platform: tool routing, policy enforcement, memory, and grounding for agents that execute real work end-to-end.
- A context graph of the physical economy: ingesting unstructured, contradictory data from emails, documents, and legacy systems and resolving it into a single source of truth.
- Evaluation and reliability infrastructure that makes agent reasoning safe enough for financial actions.
- The technical foundation of APIs, interfaces, and infrastructure that scales with customer usage and product complexity.
What the Company Requires- 4+ years of experience in high-quality engineering environments
- Hands-on experience building agent applications: tool calling, MCP, context engineering
- Strong proficiency in Python, TypeScript, or similar; comfort with AWS/GCP
- Judgment about model tradeoffs: the ability to build the most reliable, cost-efficient system, not just the most impressive demo
What the Company Values- Experience with LLM post-training and evaluation
- Proficiency with Neo4j or other graph databases (or the drive to learn fast)
- Startup experience: the ability to think like a PM and an engineer in the same conversation
- High ownership, direct communication, and a bias for action
- Interest in recruiting and mentoring future engineers
