CSI GLOBAL LTD
Artificial Intelligence Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: AI Engineer β LLM | RAG | Knowledge Graph
π Location: Sheffield, UK (Hybrid β 3 Days Onsite)
π Contract: Inside IR35
π° 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
Iβm in my final year doing Economics and I donβt 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) donβt need a masters. Letβs look at the ones youβd 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.
Graduate Consultant β 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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
Youβve 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.
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.
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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
βIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iβve been looking for.β
Jessica, London
Skills