AI Systems Engineer
We are looking for a genuine AI enthusiast to run and get the most out of our in house AI server, and to be the go to AI expert for our firm.
About the role
We are a boutique tax chambers, specialising in highly complex matters. We are a close team that knows and backs each other, and we are investing in AI to help us do our best work. We now need the right person to run our AI server and make it genuinely useful to everyone in chambers.
You will own the technical side from day one: setting up and running the server, choosing and running the models, and connecting them to the tools our solicitors use through MCP servers and connectors.
This role is for someone who lives and breathes AI. You're the person who has already tried the new open weight model the week it came out, who hangs out on AI forums and Discord servers, and who contributes to community projects because you enjoy it. You don't need a legal background, as we'll teach you what you need to know about how we work.
What you'll be doing
Running the AI server
Set up and configure our AI hardware, including the operating system, GPU drivers and the model-serving stack.
Choose, deploy and tune LLMs, and get the best performance out of the hardware.
Build retrieval-augmented generation (RAG) pipelines so the system can work with our documents and research.
Design and build MCP servers and connectors that link the models to the tools our team uses.
Keeping it secure and reliable
Make sure client data stays confidential, with strong access controls, encryption, logging and network security.
Monitor the system's health and performance and set up alerts for problems.
Look after maintenance, updates, backups and troubleshooting, and work with suppliers when needed.
Helping our people use it
Work closely with our solicitors to understand how they work and build tools that genuinely help them.
Train the team, write clear guides and be the go-to person for anything AI.
Staying ahead
Keep us up to date with what's happening in AI, bringing new models, tools and ideas from the community back to chambers.
Try out new releases on our server and recommend what's worth adopting.
What you'll bring
You will need
Hands on experience of deploying and running LLMs on your own hardware, not just calling an API.
A solid understanding of the Model Context Protocol, with experience of building MCP servers and connecting them to real tools and data.
Strong Linux server administration skills, including setting up and managing high-performance GPU servers.
Good Python, plus experience of working with APIs, containers such as Docker, and Git.
Experience of building RAG pipelines, including embeddings and vector databases.
A genuine, active interest in AI: you follow the forums, try new models and tools as they're released, and take part in the community.
The ability to explain technical ideas clearly to people who aren't technical.
It would be great if you also have
Contributions to open-source AI projects that you can point us to, such as a GitHub profile.
Experience of fine-tuning models, using techniques such as LoRA.
Experience of multi-GPU inference and performance tuning.
Knowledge of data protection and security, including UK GDPR, encryption and access control.
Experience of system monitoring and alerting tools.
Any exposure to legal technology or professional services.