- Hands-on experience building agentic products or agent harnesses, including tool use, memory, prompt assembly, and evaluation
- Deep, current knowledge of the LLM landscape, including frontier and open-weight models and where each performs well
- Daily fluency with AI coding tools and comfort making real code changes
- Experience building evals or regression suites for LLM-based systems
- Familiarity with MCP, agent-to-agent protocols, embeddings, and multi-model architectures
- A strong technical background, whether from product, engineering, or an adjacent role
- Exceptional written and verbal communication, with the ability to explain complex systems to technical and non-technical audiences
- Comfort with ambiguity and a high degree of autonomy in a fast-moving startup
- Experience in payments or fintech is a plus
We offer a comprehensive health benefits package, unlimited paid time off, paid parental leave, a fun and flexible working environment, and continuously invest in our people and our culture.
If you require any accommodations throughout the pre-employment process, please contact our HR team at hr@rainforestpay.com