Senior AI Data Scientist

Senior AI Data Scientist Location: Remote - USA, Europe, Israel Compensation: $130K - $150K

We are hiring on behalf of our client, a leading financial technology firm building the infrastructure for safer, more accessible global markets. Their risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. They recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience. They are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind their financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems. You will own the logic behind how their models reason over data, how agents coordinate and make decisions, and how they rigorously measure quality, correctness, and risk in production AI workflows. You’ll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real-world financial constraints.

Key Responsibilities: • System Design: Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows. • Agent Logic: Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability. • Evaluation Frameworks: Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases. • Production Implementation: Design structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries. • Optimization: Analyze model behavior and failure modes to turn qualitative issues into measurable signals; optimize performance and cost across workflows. • Mentorship: Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems.

Interview Process: • Recruiter / HR Call - 30min screen • Hiring Manager Interview - 30min technical screen • Technical Interview - 1-hour technical interview focused specifically on the "coding" elements eg Python and its libraries and machine learning • Technical Interview - 1-hour technical interview focused specifically on AI elements of the role (this will be more data science in nature) • Founder / CEO Interview - 30mins