AI Engineer - Semantic Layer & Agentic AI
Opus Recruitment Solutions
Barking, UK
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£156,000.0 - £182,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Computing Platforms
Microsoft Azure
Information Engineering
Data Infrastructure
Graph Database
Python (Programming Language)
Metadata
Neo4j
Standard Sql
Retrieval-Augmented Generation
+6 more
Large Language Models
Snowflake
Generative AI
AI Platforms
GPT
Databricks
Job description
- Design and develop semantic layers, knowledge graphs and AI-ready data models
- Build RAG and Agentic AI solutions using modern LLM frameworks
- Work with Data Engineering teams to create business context across complex datasets
- Develop scalable retrieval, search and reasoning capabilities for AI applications
- Contribute to AI governance, data quality and platform architecture
Requirements
- Strong Python and SQL skills
- Experience with AI/ML, LLMs or GenAI applications
- Knowledge of semantic modelling, knowledge graphs or metadata-driven architectures
- Experience with RAG, vector databases and modern AI frameworks
- Exposure to AWS, Azure or GCP
Desirable:
- Neo4j or graph database experience
- LangChain, LangGraph or LlamaIndex
- Databricks, Snowflake or modern data platforms
- Agentic AI and AI platform engineering
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