Senior Applied AI Engineer

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