Senior Applied AI Engineer

Tenth Revolution Group; Greater London; Remote; GBP 95,000 - 116,000; Full time

Benefits offered by this job

Private healthcare

Life assurance

Training & development

Career progression opportunities

Job summary

Tenth Revolution Group is seeking a Senior Applied AI Engineer to design, build and deploy AI applications for enterprise clients. This UK remote role focuses on production-ready GenAI, LLMs, and data engineering across client projects.

You will work with a team of AI specialists to deliver scalable, production-grade AI solutions, including RAG systems and AI-powered data pipelines, while ensuring security and reliability.

Qualifications

• Building and deploying production-grade AI applications.
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• Experience deploying LLM-based applications.
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Responsibilities

• Build and deploy LLM-based applications and Generative AI solutions.
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• Design and develop production-ready RAG solutions.
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• Create scalable data pipelines and AI-powered services.
•  
• Apply software engineering best practices to AI development.
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• Support deployment, monitoring and optimization of production AI systems.
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• Collaborate with clients and teams to solve complex technical challenges.
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• Contribute to reusable frameworks and tools to accelerate AI delivery.

Skills

Python

LLM deployment

Data engineering

RAG solutions

Production AI

Cloud platforms

Tools

Databricks

MLflow

LangChain

LangGraph

Semantic Kernel

Job description

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