AI Engineer

• Collaborate with engineering, product, design, and leadership to build and improve AI-powered financial products.
• Build evaluation frameworks, model-improvement infrastructure, and production-grade AI systems.
• Rapidly prototype 0→1 and MVP experiences to unlock new value for Arc customers.
• Ship projects frequently and consistently, with strong bias to action.
• Architect and implement Generative AI applications using:
• Agentic workflows
• RAG systems
• State-of-the-art model leveraging techniques
• Optimize for inference performance, token efficiency, latency, and cost.
• Contribute to platform-level systems in Python and Typescript.

Applied AI Engineer