Lead the design, evaluation, and evolution of the agentic systems behind the 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.
Requirements
6+ years in data science, applied ML, or AI-focused software roles, with at least 3+ years building production AI/ML systems (beyond the experimentation phase).
Deep hands-on experience with LLMs, agentic patterns, and tool-calling systems.
Strong Python skills and comfort working closely with production systems and APIs.
Proven experience with RAG pipelines, embeddings, and vector databases.
Strong intuition for model behavior, trade-offs, and failure analysis.
Experience applying ML or statistical methods to financial data (crypto/DeFi is a major plus).
A track record of building reusable ML or data abstractions that improve team velocity.
A strong intuition for how model behavior shifts in production based on data, users, and constraints.
Tech Stack
Python
Benefits
Competitive package aligned with growth and merit. Salary range: $130,000 – $150,000 (commensurate with experience).
100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
Thoughtful parental leave policy.
Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
Personalized professional development in a rapidly expanding global company.