AI Engineer (LLMs + Knowledge Graphs) (m/f/d) für Berlin gesucht

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Job Kategorie: IT/IT-Dienstleistung Informationstechnologie (IT)

Stellenangebot Basisdaten

Arbeitsort:: DE 10587 Berlin
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 07.11.20252025-11-07

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Stellenausschreibung: AI Engineer (LLMs + Knowledge Graphs) (m/f/d)

Arbeitgeber bzw. Arbeitsvermittler: Pinnipedia Technologies GmbH in Hamburg

Branche: IT/IT-Dienstleistung

Kategorie: Informationstechnologie (IT)

Stellenbeschreibung: Intro 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 hiring an AI Engineer to turn messy inputs into structured knowledge and reliable answers. You’ll design and operate knowledge-graph + LLM (RAG) pipelines, model/ingest domain ontologies, and own evaluation so we can ship trustworthy features. Tasks Knowledge graphs & data (~40%) Model the domain (ontology/taxonomy); build ETL into a graph store. Author queries (SPARQL/Cypher) and surface graph facts and relationships in features. RAG & LLM integration (~30%) Design retrieval and answer generation workflows (indexing, chunking, reranking). Orchestrate prompts/tools; balance KG, vector search, and business rules. Evaluation & quality (~20%) Define and track retrieval/answer metrics (e.g., precision/recall, faithfulness). Build test fixtures and regression checks; monitor drift and data quality. Production & collaboration (~10%) Ship well-tested Python components (FastAPI jobs/services); document decisions; work from a clear backlog with PO and engineers. Requirements Must-have Strong Python and data engineering fundamentals. Hands-on with knowledge graphs (ontology design + queries) and a graph DB. Practical RAG experience (indexing, retrieval, evaluation). Testing mindset (pytest), version control, and clear documentation. English required (German nice-to-have). Nice-to-have Security/compliance awareness; prompt/agent tooling; spaCy/Transformers. Observability for ML/LLM systems; simple dashboards for quality metrics. Cloud basics (AWS/Azure), containers (Docker); CI/CD. Benefits Hybrid, full-time with flexible scheduling; occasional on-site days near Berlin/Brandenburg (Ketzin/Havel) . Competitive salary: 60.000–85.000 € base (more 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. Closing Apply on JOIN with your CV (PDF) and a short note (max 200 words ) describing how you would design a KG-backed RAG pipeline (ontology scope, indexing, retrieval, and evaluation you’d use). Process: 20-min intro → 90-min practical (graph modeling + retrieval evaluation) → 45-min team chat → references. We review applications within 5 business days .

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Pinnipedia Technologies GmbH
Am Strandkai 1
De 20457 Hamburg

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