Role overview
- Adaptability: You thrive on diverse, open-ended problems. One day you're implementing a new agent architecture, the next you're debugging a customer data issue—and you bring the same intensity to both.
- Ownership: You take problems from research paper to production. You don't wait for direction—you identify what needs to happen and drive it to completion.
- Opinionated: You have strong technical perspectives on what works and what doesn't. You push back on approaches you disagree with and make the team's thinking sharper.
- Mission-driven: You're energized by building AI that transforms how businesses run. You connect technical decisions to real customer outcomes and care deeply about the impact.
- Collaborative excellence: You share knowledge, give thoughtful feedback, and invest in making the team better. You bring new ideas from papers and discussions to elevate everyone's thinking.
What you'll work on
- Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows.
- Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions.
- Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies.
- Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over.
- Design benchmarking and evaluation suites that quantify Sapien's accuracy, reliability, and business impact across different customer workflows.
What we're looking for
- Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch.
- Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures.
- Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback.
Tags & focus areas
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