Production-Ready AI & Knowledge Graph Engineer | Manchester

Kintec Global Recruitment; Manchester; Vor Ort; GBP 111.000 - 166.000; Vollzeit

Zusammenfassung

Kintec Global Recruitment seeks an AI and Knowledge Graph Engineer in Manchester, UK. This contract role focuses on designing knowledge graphs, ontology, and robust AI features that are production-ready.

You will build graph-backed retrieval, ensure evidence-grounded outputs, and optimize data pipelines for scalable, secure systems. You will work in a multidisciplinary team, shaping the platform from development through production, with emphasis on provenance, schema evolution, and controlled

Qualifikationen

• Substantial professional experience building AI or data-intensive systems that reached production.
• Practical experience with knowledge graph or semantic data modelling, including ontology design and entity resolution.
• Strong Python skills, and competence with a graph database such as Neo4j and with a vector store.
• Experience with retrieval augmented generation, including grounding, citation, and refusal behaviour.
• Demonstrated evaluation practice: building evaluation sets, measuring quality, and preventing regression.
• Sound data engineering fundamentals: pipelines, schema validation, idempotency, and backfill.

Aufgaben

• Design ontology and schema: entities, relationships, attributes, and the rules that constrain them.
• Model provenance so every assertion can be traced to its source document, extraction run, and confidence.
• Plan schema evolution and migration, keeping historical data queryable as the model changes.
• Define identifiers and resolution rules to prevent duplication of real-world entities across sources.
• Build pipelines to extract entities and relationships from structured and unstructured sources.
• Implement entity resolution with explicit precision and recall targets, including a review path for uncertain matches.
• Handle conflicting sources deterministically, recording which source prevailed and why.
• Validate ingested data against the schema and quarantine failures rather than admitting them silently.
• Build retrieval over the graph and document content, combining structural and semantic search.
• Design prompts and tool interfaces to ensure model answers are grounded in retrieved evidence and properly cited.
• Set explicit behaviour for missing evidence, conflicting evidence, and low confidence, including refusal to answer.
• Control cost and latency through caching, batching, and model selection.
• Build evaluation sets from real tasks and measure accuracy, grounding, and refusal behaviour before release.
• Detect regression between model or prompt versions automatically and block promotion if regression is found.
• Monitor live quality and feed failures back into the evaluation set.
• Report honestly on system limitations and make these visible in the product.

Kenntnisse

Python

Graph modelling

Knowledge graphs

Entity resolution

Data engineering

Tools

Neo4j

Vector store

SPARQL

Jobbeschreibung

Kintec Global Recruitment seeks an AI and Knowledge Graph Engineer in Manchester, UK. This contract role focuses on designing knowledge graphs, ontology, and robust AI features that are production-ready.

You will build graph-backed retrieval, ensure evidence-grounded outputs, and optimize data pipelines for scalable, secure systems. You will work in a multidisciplinary team, shaping the platform from development through production, with emphasis on provenance, schema evolution, and controlled