Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind a financial intelligence platform.

Requirements

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.

Benefits

Competitive package designed to support your professional growth and personal well-being
Compensation & Equity: Competitive package aligned with growth and merit. Salary range: $130,000 – $150,000 (commensurate with experience).
Comprehensive Health: 100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
Time Off: 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
Family Support: Thoughtful parental leave policy.
Wellness: Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
Career Growth: Personalized professional development in a rapidly expanding global company.
Commuter Benefits: Pre-tax commuter programs.

Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind a financial intelligence platform.

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.

Competitive package designed to support your professional growth and personal well-being
Compensation & Equity: Competitive package aligned with growth and merit. Salary range: $130,000 – $150,000 (commensurate with experience).
Comprehensive Health: 100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
Time Off: 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
Family Support: Thoughtful parental leave policy.
Wellness: Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
Career Growth: Personalized professional development in a rapidly expanding global company.
Commuter Benefits: Pre-tax commuter programs.