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Senior, niche applied-AI Principal role reduces applicant density despite strong AI demand.
High domain bias: requires deep applied-AI and agent expertise, with healthcare/VC experience preferred.
Explicit 10+ years and mandatory agent/ML expertise create very strict shortlisting filters.
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Design and deploy AI-driven agentic workflows to enhance decision-making in venture backing, hiring, investor relations, and healthcare partnerships.
Develop scalable, self-learning AI systems integrating complex human judgment and long-horizon agentic architectures.
Lead technical excellence by setting high AI standards across teams and supporting portfolio companies in AI-native product builds.
10+ years in senior technical roles at venture-backed startups, frontier AI labs, or investment firms.
Expertise in Python and/or TypeScript; experience with production-grade agent frameworks like Lang* or Anthropic Agent SDK.
Proven ability to build or modify complex agent harnesses including tools, durable execution, observability, and self-learning loops.
Work Location: Hybrid roles available in New York, San Francisco, or Bengaluru.
Experienced in building or significantly enhancing stateful, long-horizon agentic AI systems beyond basic retrieval-augmented generation (RAG).
Deep understanding of investment workflows or prior experience working closely with venture firms or operators.
Strong operating style combining technical leadership with executive presence to translate complex AI capabilities into business impact and trusted advisor relationships.