Senior AI Engineer

Introduction

Join a technology consultancy delivering cutting-edge AI solutions for enterprise clients. This is an opportunity to build production-grade agentic AI systems using the latest AWS technologies, helping organisations turn AI ambition into real-world business outcomes.

Role Overview

• Location: Fully Remote
• Day-Rate: Competitive - Outside IR35
• Industry: Technology / AI & Cloud Consulting

What You’ll Be Doing

• Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem.
• Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges.
• Build and maintain Model Context Protocol (MCP) servers to enable seamless integration across AI platforms.
• Design scalable Retrieval-Augmented Generation (RAG) solutions, managing knowledge bases, vector stores and document ingestion pipelines.
• Integrate Large Language Models into enterprise applications through prompt engineering, tool calling and context management.
• Build secure, scalable AI back-end services using AWS Lambda, DynamoDB, S3 and other serverless technologies.
• Implement monitoring, tracing and observability to ensure AI applications are reliable, performant and production-ready.
• Work closely with engineering, product and client teams to shape AI architectures and contribute to technical strategy.
• Support the delivery of innovative AI capabilities from concept through to production deployment.

Main Skills Needed

• Proven experience delivering production-grade AI applications using Amazon Bedrock.
• Strong background designing and implementing agentic AI and multi-agent systems.
• Hands-on experience building or integrating MCP (Model Context Protocol) servers.
• Experience developing RAG architectures, knowledge bases and vector search solutions.
• Strong Python development skills within AI and cloud environments.
• Solid understanding of AWS services, particularly Lambda, DynamoDB and S3.
• Experience integrating LLMs using prompt engineering, context management and function calling techniques.
• Knowledge of observability, monitoring and tracing tools such as CloudWatch.
• Strong software engineering principles with a focus on scalable, maintainable production systems.
• AWS certifications, particularly AI/ML Speciality, would be advantageous.

What’s in It for You

• Work on genuinely innovative AI projects using some of the latest technologies in the AWS ecosystem.
• Build enterprise-scale AI solutions that move beyond proof of concept into real production environments.
• Collaborate with experienced engineers, architects and AI specialists on challenging client engagements.
• Influence technical direction while working at the forefront of agentic AI and cloud engineering.
• Continuous learning opportunities with access to emerging AI technologies and best practices.
• Hybrid working and a collaborative, engineering-first culture.

Call to Action

Big plans. Big impact. Ready to be part of it?

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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