AI Graph Engineer

NES Group Ltd; Drayton; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global engineering staffing provider in the UK is looking for a skilled Senior AI Graph Engineer to design and build agentic workflows and knowledge graphs. Candidates should have extensive experience with LangGraph, AI workflows, and integrating data systems, particularly in the Oil & Gas sector. The position offers a hybrid work structure with initial contract terms transitioning to permanent employment. This is an excellent opportunity for professionals in the data engineering field who are looking for a long-term career in a leading company.

Qualifications

• 6-10+ years of experience in data engineering, AI engineering, or knowledge graph engineering.
• Experience with LLM-based systems and prompt engineering.
• Familiarity with OpenAI or Azure OpenAI.

Responsibilities

• Define and build semantic models, ontologies, and taxonomies.
• Design and build agentic workflows for data exploration.
• Connect AI agents with databases and build pipelines.

Skills

LangGraph for agent orchestration

Python – advanced proficiency

Knowledge Graphs

Graph Databases

Relational Databases

Data Lakes

Natural Language Query Systems

Tools

Neo4j

PostgreSQL

Docker

Kubernetes

Job description

Job Title:

AI Graph Engineer (Senior)

Positions Available:

2

Salary:

High rates on offer, contact for details – initial daily pay rate for contract period before converting to salary.

Location:

Abingdon, outside London

Hours:

Full time Monday to Friday

Hybrid:

Hybrid working with 2-3 office days in Abingdon – fully remote may be an option for the right candidate.

Contract:

Full time initial 6‑month contract; treated as a probation period, with transition to permanent staff or extension after 3‑6 months if successful.

Key Experience Required

Someone that has experience defining and building semantic models, ontologies, and taxonomies aligned with Oil & Gas industry data.

About the Role

We are seeking a highly skilled AI Agent Engineer with deep experience in LangGraph, agentic AI workflows, ontology‑driven knowledge graphs, and data systems integration. This role will focus on designing and building agentic workflows that enable natural‑language querying of structured and unstructured data to deliver intelligent insights for analytics and decision‑making. The candidate will architect and implement multi‑step AI agents, integrate them with enterprise data platforms, and build semantic layers that support reasoning, retrieval, planning, and autonomous task execution across heterogeneous data sources. Experience in Oil & Gas data domains such as drilling, production, subsurface, HSE, or asset operations is highly preferred.

Key Responsibilities

Knowledge Graph & Ontology Engineering

• Define and build semantic models, ontologies, and taxonomies aligned with Oil & Gas industry data.
• Architect and maintain knowledge graphs that integrate with enterprise data sources.
• Implement embeddings‑assisted retrieval, RAG pipelines, and cross‑domain entity linking.

AI Agent & Workflow Development

• Design, build, and scale LangGraph‑based agentic workflows for natural‑language data exploration, insights generation, and analytics automation.
• Implement autonomous workflows including planning, retrieval, reasoning, and tool execution.
• Build modular, stateful agents capable of multi‑step reasoning, context retention, and complex decision flows.

Data Systems Integration

• Connect AI agents with relational databases (PostgreSQL, SQL Server, Oracle), graph databases (Neo4j, Neptune), and data lakes (S3, ADLS, Delta Lake).
• Build pipelines to ingest, index, and query both structured and unstructured data.
• Develop semantic query layers for NL‑to‑SQL, NL‑to‑GraphQL, or NL‑to‑SPARQL translations.

Application & API Development

• Build Python services, APIs, and microservices for agent orchestration and data access.
• Collaborate with data engineering, analytics, and domain experts to deploy scalable solutions.

Oil & Gas Domain Expertise

• Understand industry data models such as drilling logs, production data, wellbore schemas, seismic metadata, engineering documents, and operations workflows.
• Translate industry use cases into agentic AI workflows that deliver actionable insights.

Required Skills & Experience

Core Technical Skills

• LangGraph for agent orchestration (planning, memory, tools, multi‑agent workflows).
• Python – advanced proficiency.
• Knowledge Graphs: building ontologies, semantic models, RDF/OWL, SPARQL.
• Graph Databases: Neo4j, Neptune or similar.
• Relational Databases: PostgreSQL, SQL Server, MySQL, Oracle; query optimisation.
• Data Lakes: S3, ADLS, Delta Lake, Parquet/Arrow.
• RAG / Vector Databases: Postgres, Pinecone, Weaviate, Qdrant, Chroma or equivalent.
• Natural Language Query Systems: NL‑to‑SQL, semantic query engines, embedding models.

AI/ML Skills

• Experience with LLM‑based systems, prompt engineering, and structured agent design.
• Knowledge of retrieval strategies, hybrid search, and memory architectures.
• Familiarity with OpenAI, Azure OpenAI, Anthropic, or similar model providers.

Architecture & Engineering Skills

• Microservices architecture, API development, containerisation (Docker/Kubernetes).
• CI/CD and production ML/AI deployment best practices.

Industry Skills

• Oil & Gas data models and standards (PPDM, WITSML, PRODML, RESQML preferred).
• Understanding of drilling operations, production operations, subsurface data, or engineering documents.

Preferred Qualifications

• 6‑10+ years of experience in data engineering, AI engineering, or knowledge graph engineering.
• 1+ years hands‑on experience with LangChain/LangGraph or agentic AI frameworks.
• Experience designing enterprise‑scale semantic or knowledge‑centric systems.
• Prior experience implementing NLQ (natural language query) for analytics or BI.
• Experience in Oil & Gas digital transformation projects.

Soft Skills

• Excellent problem‑solving and conceptual modelling skills.
• Ability to work cross‑functionally with data engineering, cloud teams, and business SMEs.
• Strong communication and technical documentation skills.
• Ability to translate ambiguous business requirements into technical workflows.

Company Profile

With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we provide clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits to providing market‑leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.