McGregor Boyall
AI Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI Engineer
Financial Services
Location: Bristol, Leeds, Manchester or Edinburgh
Duration: 3 months initially (likely extension)
Rate: Up to £800 p/d inside IR35 (via umbrella)
The Role
Major Financial Services organisation looking for an experienced AI Engineer to build and deploy enterprise-grade AI solutions across an Enterprise Knowledge Base (EKB).
This is a hands-on role focused on GenAI, LLMs, RAG and Agentic AI, taking solutions from prototype through to production. You'll work across AI, data and engineering teams to build intelligent retrieval, knowledge discovery and automation capabilities.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Build production-grade GenAI, LLM, RAG and Agentic AI solutions
- Develop AI Agents and Multi-Agent Systems
- Work with LangChain, LangGraph and MCP
- Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search
- Apply Prompt & Context Engineering
- Integrate AI solutions through REST APIs and cloud platforms
- Test, evaluate and optimise LLM and AI Agent performance
- Take AI solutions from prototype through to production
Key Requirements
- Strong commercial experience as an AI / GenAI Engineer
- Strong Python and SQL
- Hands-on experience with LLMs, RAG, AI Agents and Agentic AI
- Experience with LangChain and/or LangGraph
- Experience with MCP
- Knowledge of Embeddings and Vector Databases
- Experience deploying AI solutions in enterprise environments
- Cloud experience across Azure, AWS or GCP
- Understanding of LLM evaluation and testing
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have
- Enterprise Knowledge Base / AI Search experience
- Knowledge Graphs
- Semantic Search
- Responsible AI
- AI Evals
- Token optimisation / cost management
- Financial Services experience
Deadline for applications
Tuesday 8th Sept at 12pm
Get in touch for more details - ncarolan@mcgregor-boyall.com
“It 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 I’ve been looking for.”
Jessica, London
Skills