Founding AI Engineer

Responsibilities:

• Own the Retrieval Pipeline: Document ingestion, chunking, embeddings, hybrid search, and reranking.
• Dual-Corpus Retrieval: Build retrieval architectures spanning public literature and private enterprise documents with provenance.
• Citation and Onboarding: Manage citation and identifier resolution (such as DOI/arXiv-class documents) and large-scale data onboarding.
• Retrieval Evaluation: Establish evaluation metrics and test harnesses to systematically improve search quality with every release.

Requirements:

• Experience Required: 8+ years in ML/backend engineering.
• Strong proficiency in Python.
• Hands-on expertise with vector stores, embeddings, and rerankers (graph databases are a major plus).
• Experience processing scientific or technical document corpora.