Non renseigné
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 IGP-funded (2025/26) and co-develop with FU Berlin and pilot users from industry and security consulting. We're looking for a freelance 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 relational + graph stores, observability on extraction throughput and quality, incident response.
Do you have experience in SQL?, Must-have * 5+ years shipping data/AI systems to production with real customers -has been on-call for live pipelines and knows what breaks at 2am. * Strong Python (typed, modern) and SQL. Comfortable with PostgreSQL under load. * Production experience with at least one graph database (Neo4j preferred; Neptune, ArangoDB, TigerGraph acceptable) -schema design, query tuning, not toy use. * Production LLM pipeline experience: structured output, agent orchestration, prompt and version management, evaluation frameworks. PydanticAI, LangChain, DSPy, or Instructor all welcome. * Durable workflow orchestration in production (DBOS, Temporal, Airflow, Prefect, Dagster). * Test-first discipline -integration tests against real datastores (Testcontainers or equivalent), not mock-heavy unit tests. * Fluent English skills. * Freelance status. Nice-to-have * Experience with regulated, compliance-driven, or standards-heavy extraction domains (legal, medical, financial, security/audit). * Designed deterministic evaluators alongside LLM components and knows when to reach for which. * Contributions to data contracts, schema governance, or ontology work. * German language skills.
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