Semantic AI Engineer: Agentic & RAG Systems

Opus Recruitment Solutions Limited; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Opus Recruitment Solutions Limited seeks an AI Engineer to build the data foundations powering next-gen AI applications, agents and copilots. You will design semantic layers and knowledge graphs, and implement AI-ready data models to support scalable RAG and Agentic AI solutions.

You will collaborate with Data Engineering, create retrieval and reasoning capabilities for AI apps, and contribute to data governance and platform architecture.

Qualifications

• Proficient in Python and SQL with hands-on AI/ML exposure.
• Experience building AI/LLM-powered applications and data models.
• Strong knowledge of semantic modelling and knowledge graphs.

Responsibilities

• Design semantic layers, knowledge graphs and AI-ready data models.
• Build RAG and Agentic AI solutions using modern LLM frameworks.
• Collaborate with Data Engineering to provide business context across datasets.
• Develop scalable retrieval, search and reasoning for AI apps.
• Contribute to AI governance and platform architecture.

Skills

Python

SQL

AI/ML/LLM

Semantic modelling

Knowledge graphs

RAG/Agentic AI

Vector databases

Cloud (AWS/Azure/GCP)

LangChain

Data platforms

Tools

Neo4j

LangChain

LlamaIndex

Databricks

Snowflake

LangGraph

Job description

Opus Recruitment Solutions Limited seeks an AI Engineer to build the data foundations powering next-gen AI applications, agents and copilots. You will design semantic layers and knowledge graphs, and implement AI-ready data models to support scalable RAG and Agentic AI solutions.

You will collaborate with Data Engineering, create retrieval and reasoning capabilities for AI apps, and contribute to data governance and platform architecture.