Mercury

This role focuses on building and scaling Mercury's internal AI platform and enablement layer, extending existing infrastructure, operating LLM gateway, and strengthening the shared company knowledge layer. The goal is to turn scattered AI experiments into shared capabilities, enabling faster prototyping and iteration across the company, including self-service tools for non-engineers and evaluation harnesses for AI agents.

Product Manager for API and Agentic Banking at Mercury, focusing on building AI-powered product experiences and integrating with AI tools and developer platforms to make banking programmable and intelligent.

Senior Software Engineer role focused on building agentic AI systems for risk management and compliance in a fintech company. The role involves driving AI product development, collaborating across functions, leading end-to-end technical projects, and ensuring quality and scalability of AI-driven workflows.

Senior Machine Learning Engineer at Mercury, a fintech company, focusing on building and deploying ML & Gen AI microservices for automating customer application reviews to prevent financial crimes. The role involves integrating these services into the existing review experience, including human feedback loops, and implementing robust testing and observability.

This role focuses on defining and implementing the strategy for customer-facing chatbots and AI agents within the Customer Support organization. It involves architecting workflows, optimizing bot performance, ensuring quality and safety, and collaborating with engineering and product teams to expand the bot's capabilities. The role also involves evaluating AI tooling and managing vendor relationships.

Senior Infrastructure Engineer to build and manage cloud infrastructure, focusing on creating an AI-friendly platform that supports both human and agent users, and developing frameworks for safe AI usage within infrastructure.