Das ist der Job
We’re IGP-funded (2025/26) and co-develop with FU Berlin and pilot users from industry and security consulting.
Darum lohnt es sich
Pinnipedia is a new Berlin startup building a cloud platform that automates and assists the creation of audit-ready IT-security concepts (e.g., BSI-Grundschutz, C5). We’re hiring an AI Engineer to turn messy inputs into structured knowledge and reliable answers.
Your Mission -Own the end-to-end pipeline that turns unstructured documents into a validated, queryable knowledge graph. Accountable for extraction quality, graph integrity, and the data layer that backs the product's read path.
Tasks • LLM extraction pipelines -document chunking, property and relationship extraction, cross-chunk reconciliation, gap detection.
Built with structured-output LLM agents orchestrated by durable workflows. • Knowledge graph -schema design as typed Pydantic models, Cypher access patterns and indexing strategy, graph operations, schema evolution and migration.
Scope ends at the graph boundary: API contracts and query abstractions exposed to consumers belong to the full-stack engineer. • Deterministic rule engines -table-driven evaluators for cases where code beats LLM judgment; clear contracts between deterministic and probabilistic components. • Data validation & quality -schema enforcement, required-property contracts, audit trails, eval harnesses (expert review, unsupervised checks, synthetic fixtures, LLM-as-judge). • Live data ops -backfills, coordinated migrations across relat
