Teams at Unusual Ventures

Build and ship AI-powered internal systems across investing, talent, founder services, finance, and operations. Projects include talent intelligence, sourcing and research tools, diligence workflows, firm knowledge search, operations automation, and reusable portfolio-company AI tools. The role requires end-to-end ownership, from identifying high-leverage problems and selecting the technical stack to building usable products, working with messy business data, and supporting portfolio founders with AI strategy and implementation.

Build and operate Helios’s acquisition and document-processing infrastructure, including web crawlers, connectors, fault-tolerant pipelines, multilingual document and media processing, OCR, extraction, transcription, and enrichment. Establish data contracts, provenance, versioning, observability, security, and correction propagation across distributed systems. Scale batch and real-time CPU/GPU workloads while supporting international sources and restricted environments.

Build and architect production-grade AI systems, including LLM orchestration, retrieval layers, multi-agent workflows, tool-calling systems, and structured reasoning. Establish scalable, observable, cost-aware architecture patterns; guide data, infrastructure, API, evaluation, monitoring, and governance decisions; mentor senior engineers; and translate ambiguous business problems into reliable technical solutions. The role emphasizes hands-on building, end-to-end delivery, production reliability, and technical leadership.