[Hiring] Senior AI / Knowledge Graph Engineer @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.