Two Dots

You'll build consumer-facing **chat agents** that serve as the frontend to complex workflows for a **verification and risk infrastructure** startup. You'll bridge internal APIs with AI agents, making smaller models perform like larger ones while designing creative automation for product judgment. This role combines user empathy, strong Python ability, and a metrics-driven mentality.

You'll own critical ERP integrations, using agents to discover API behavior and turning unreliable third-party APIs into highly reliable systems. Your work will directly determine **total addressable market** and be tied to major revenue changes. You'll work closely with customers, sales, and other engineers to decide when an integration seam requires **changing the product itself** rather than creating a workaround.

You'll build **PDF processing infrastructure** for a **housing verification startup**. You'll optimize machine learning pipelines to extract financial data from documents. This role impacts **affordability risk assessment** at scale.

You'll join a Series A fintech startup to **build conversational interfaces** that automate loan and lease document collection. You'll **work across the full stack** to increase automation and prevent fraud. **This role offers the chance to own projects** that improve housing access.

You'll design, develop, and deploy machine learning solutions, focusing on fine-tuning multimodal LLMs to improve **application approval/denial automation** and **fraud detection** for a financial services company. You'll work closely with the CTO and Staff ML Engineer to build a better system for evaluating consumers consistently and fairly.