Senior Applied AI Engineer - UK (Remote) - GenAI, LLMs, RAG & Data Engineering - Up to £105,000

I'm working with a growing technology consultancy that's making significant investment in AI and looking to hire a Senior Applied AI Engineer to help build innovative, real-world AI solutions for enterprise clients.

This isn't a research or proof-of-concept role. You'll be focused on designing, building and deploying AI applications that solve genuine business problems and deliver measurable value. From LLM-powered applications and RAG solutions to intelligent automation and machine learning systems, you'll be working on projects that are used in production and trusted by end users.

You'll join a collaborative team of engineers, architects and AI specialists, helping organisations unlock the potential of their data through modern AI technologies. You'll have the opportunity to work across a range of enterprise AI initiatives, helping clients turn emerging AI capabilities into scalable, production-ready solutions.

What You'll Be Doing
Building and deploying LLM-based applications and Generative AI solutions
Designing and developing production-ready RAG solutions
Creating scalable data pipelines and AI-powered services
Applying software engineering best practices to AI development
Supporting the deployment, monitoring and optimisation of production AI systems
Working closely with clients and internal teams to solve complex technical challenges
Contributing to reusable frameworks, tools and best practices that accelerate AI delivery

What We're Looking For

Strong Python development experience with a track record of building and deploying production-grade applications
Experience developing and deploying LLM-based applications
A background in Data Engineering and Software Engineering
Hands-on experience building RAG solutions
Experience taking AI solutions from proof of concept into production environments
Experience delivering AI, Machine Learning or Data-driven solutions in commercial environments
Knowledge of cloud platforms such as Azure, AWS or GCP
A passion for building solutions that are scalable, secure and production-ready
Experience with technologies such as Databricks, MLflow, LangChain, LangGraph, Semantic Kernel or modern AI platforms would be advantageous, but isn't essential.

Why Join?
Fully remote working
Private healthcare and life assurance
Ongoing investment in training and development
Exposure to cutting-edge AI and Generative AI projects
Clear opportunities for career progression
A supportive, collaborative environment where you'll have the opportunity to shape how AI solutions are delivered

If you're an engineer who enjoys combining strong software engineering principles with modern AI technologies and wants to work on impactful, enterprise-scale projects, get in touch.