AI Engineer
Summary: The AI Engineer role focuses on developing enterprise AI solutions for a leading client in the banking sector, specifically utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies. The position requires a strong background in knowledge graph technologies and aims to enhance AI-powered applications. The role is based in Sheffield and offers a hybrid working arrangement. Candidates should have prior experience in the banking or financial services domain.
Key Responsibilities:
- Develop enterprise AI solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Design and implement Knowledge Graphs.
- Build AI-powered applications and solutions.
- Collaborate with stakeholders to address problem-solving needs.
- Integrate AI solutions into enterprise environments.
Key Skills:
- Strong hands-on experience with Large Language Models (LLMs).
- Expertise in Retrieval-Augmented Generation (RAG).
- Experience designing and implementing Knowledge Graphs.
- Proven experience building AI-powered applications and solutions.
- Strong understanding of modern AI/ML frameworks and architectures.
- Excellent problem-solving and stakeholder communication skills.
- Previous banking or financial services domain experience.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Experience with vector databases and AI orchestration frameworks.
Salary (Rate): undetermined
City: Sheffield
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
AI Engineer (LLM / RAG / Knowledge Graph) – Banking
Location: Sheffield (Hybrid)
Job Type: Contract
We are looking for an experienced AI Engineer to join an exciting project with a leading client in the banking sector based in Sheffield. This role is ideal for someone with a strong background in developing enterprise AI solutions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), combined with experience in knowledge graph technologies.
Key Skills & Experience
- Strong hands-on experience with Large Language Models (LLMs)
- Expertise in Retrieval-Augmented Generation (RAG)
- Experience designing and implementing Knowledge Graphs
- Proven experience building AI-powered applications and solutions
- Strong understanding of modern AI/ML frameworks and architectures
- Excellent problem-solving and stakeholder communication skills
Essential Requirements
- Previous banking or financial services domain experience is essential.
- Ability to work from the Sheffield office as required.
Desirable Skills
- Experience integrating AI solutions into enterprise environments
- Familiarity with cloud platforms such as Azure, AWS, or GCP
- Experience with vector databases and AI orchestration frameworks
If you're an AI Engineer with strong LLM, RAG, and Knowledge Graph expertise, along with banking sector experience, we'd love to hear from you. Apply now with your latest CV for immediate consideration.
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