Pinnipedia Technologies GmbH

Role Description Pinnipedia is hiring an AI Engineer to turn messy inputs into structured knowledge and reliable answers. - 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. Qualifications - 5+ years shipping data/AI systems to production with real customers. - 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). - Production LLM pipeline experience: structured output, agent orchestration, prompt and version management, evaluation frameworks. - Durable workflow orchestration in production (DBOS, Temporal, Airflow, Prefect, Dagster). - Test-first discipline - integration tests against real datastores (Testcontainers or equivalent). - Fluent English skills. Requirements - 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. Benefits - Remote, full-time with flexible scheduling. - CET (Berlin) timezone availability expected. - Possibility of relocation if successful work relationship is achieved after a period of time. - Competitive salary: 32.000–42.000 € base (premium for exceptional senior profiles). - Small, focused team; direct collaboration with the Product Owner and Full-Stack Engineer. - Modern tooling, real ownership, and a learning budget for role-relevant training. - Impact: help SMEs meet rising security requirements with less friction. Company Description Pinnipedia Technologies GmbH is a Berlin startup building a cloud platform that automates and assists the creation of audit-ready IT-security concepts for German/EU standards (e.g., BSI-Grundschutz, C5). - Our product combines LLMs, a domain knowledge graph, and workflow automation to turn scattered inputs into draft security concepts, checklists, risk/impact matrices, and evidence that stands up in audits. - We are IGP-funded (2025/26) and co-develop with FU Berlin and pilot users from industry and security consulting. - By Aug 2026 we aim to ship a multi-tenant SaaS with hardened cloud setup, CI/CD, quality dashboards and a go-to-market kit. - We work as a small, hands-on team with a modern stack, pragmatic documentation, and a focus on reliable, compliant outcomes for SMEs.