AI Agent Engineer @ Roe (YC F24) | San Francisco Bay Area
I develop and deploy production AI agents operating in enterprise environments.
- Multi-step, Temporal-orchestrated agent systems
- Compliance, AML, and risk automation
- Audit-first, artifact-driven architecture
- Deep integration with real infrastructure
- Agent orchestration & long-running workflows
- Structured extraction & schema-constrained generation
- Risk intelligence & adverse media detection
- Event-driven automation (Slack → Warehouse → Ticketing → Disposition)
- Production API & distributed system design
LLMs: Claude, GPT, tool-using agents with context management
Infra: AWS, EKS, Vercel, Terraform, Kubernetes
Data: ClickHouse, AWS stack
Backend: Python, TypeScript, Go, Rust
Frontend: Next.js, React, Django
I build arbitrage trading systems on platforms like Kalshi.
- Rust-based algorithmic execution engines
- Automated opportunity detection across binary markets
- Fee-aware EV modeling & latency-sensitive order routing
- LLM-assisted workflows for market classification, filtering, and strategy/execution orchestration
Focused on combining deterministic trading logic with intelligent market parsing and automated execution (or keeping them seperate).
LinkedIn: https://linkedin.com/in/jadenfix
Location: San Francisco Bay Area
Build agents that move through data like light through fiber.




