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CSI GLOBAL LTD

Artificial Intelligence Engineer

Sheffield
Posted about 8 hours ago
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Job Title: AI Engineer – LLM | RAG | Knowledge Graph

πŸ“ Location: Sheffield, UK (Hybrid – 3 Days Onsite)
πŸ“„ Contract: Inside IR35
πŸ’° Rate: Market Rate

Role Overview

We are looking for an experienced AI Engineer to design and develop enterprise Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Knowledge Graphs. You will work closely with architects, developers, and business stakeholders to build scalable AI applications and intelligent search solutions.

Key Responsibilities

  • Develop and deploy AI applications using LLMs, RAG, and Knowledge Graphs.
  • Build and optimize RAG pipelines with vector databases and enterprise data.
  • Design and implement Knowledge Graph solutions for semantic search.
  • Integrate LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama) into enterprise applications.
  • Develop AI services using Python and frameworks such as LangChain or LlamaIndex.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.
  • Optimize AI models for performance, scalability, and security.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer β€” it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet β€” that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant β€” 2026 Scheme

PwCΒ·London, UK
Β£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β€” deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β€” client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β€” and where to focus when applying.

Required Skills

  • 5+ years of software engineering experience with 2+ years in GenAI/LLMs.
  • Strong proficiency in Python.
  • Hands-on experience with LLMs, RAG, Prompt Engineering, and Vector Databases.
  • Experience with Knowledge Graphs (Neo4j/RDF/SPARQL).
  • Knowledge of LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
  • Experience with FastAPI/Flask, REST APIs, Docker, Kubernetes, Git, and CI/CD.
  • Exposure to Azure, AWS, or GCP cloud platforms.

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Nice to Have

  • Experience with Azure AI Foundry, Azure OpenAI, or AWS Bedrock.
  • Knowledge of GraphRAG, Agentic AI, MCP (Model Context Protocol).
  • Banking or Financial Services domain experience.
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Skills

Artificial Intelligence
Large Language Models
Retrieval-Augmented Generation
Knowledge Graphs
Python
Prompt Engineering
Vector Databases
Neo4j
RDF
SPARQL
FastAPI
Flask
REST APIs
Docker
Kubernetes
Git

Location

Sheffield, England, United Kingdom

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