Senior AI / Knowledge Graph Engineer
Location
Berlin, Germany
Work type
Remote
Employment
Full Time
Experience
5-10 years
Compensation
€32K - €42K per year
Posted
2d ago
Summary and responsibilities
Role overview
Summary
This role involves owning the end-to-end pipeline for transforming unstructured documents into a validated, queryable knowledge graph. The engineer will be accountable for extraction quality, graph integrity, and the data layer supporting the product's read path.
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.
Requirements
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.
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.
Benefits
Remote, full-time with flexible scheduling. CET (Berlin) timezone availability expected.
Possibility of relocation if successfull 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.
Updated 2d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
5-10 years
How this role is positioned
Role classification
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Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
€32K - €42K per year
Benefits and perks
Location, schedule, and role shape
Work setup
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Context on the employer
Company snapshot
Company
Pinnipedia Technologies GmbH
Team size
Growing team
Location
Berlin, Germany
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.
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Senior AI / Knowledge Graph Engineer
Berlin, Germany • Full Time