We are a leading financial technology firm building the infrastructure for safer, more accessible global markets. Our risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. We recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience.
Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows
Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability
Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases
Design structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries
Analyze model behavior and failure modes to turn qualitative issues into measurable signals; optimize performance and cost across workflows
Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems
Diese Stellenanzeige wurde automatisch importiert und ist in Claude, ChatGPT und Cursor über unseren MCP-Server abrufbar — derzeit ohne Ihre Firmendaten.
Mit einem kostenlosen Firmen-Profil: