AI Engineer

Ronald James; Camperdown; Remote; GBP 51,000 - 85,000; Full time

Job summary

Ronald James is seeking an AI Engineer to build AI-powered features for a large-scale enterprise SaaS platform. You will work with Product, Design, and Engineering to turn ideas into production-ready solutions that enhance user experience.

This hands-on role requires experimenting with AI, building prototypes and taking them to production in a fully remote UK setting.

Qualifications

• Hands-on experience building applications with LLMs and AI tooling.
• Strong backend development skills in TypeScript/Node.js and REST APIs.
• Full-stack familiarity including some React knowledge.

Responsibilities

• Build and deploy AI-powered features from prototype to production.
• Develop LLM integrations, agents, tool use and orchestration workflows.
• Build and maintain scalable backend services and APIs.
• Collaborate with Product and Engineering to identify AI opportunities.
• Contribute to AI development practices and internal tooling.

Skills

LLM development

TypeScript

Node.js

React familiarity

REST APIs

AI experimentation

Tools

AWS Lambda

AWS S3

Bedrock

Vector databases

RAG

Prompt engineering

Docker

CI/CD

Multi-tenant SaaS

AI governance

Job description

AI Engineer

Salary: Up to £85,000

Location: Fully remote - UK

The Role

We're looking for an AI Engineer to build and deliver AI-powered features for a large-scale enterprise SaaS platform. You'll work closely with Product, Design and Engineering to turn ideas into reliable, production-ready solutions that improve the user experience.

This is a hands-on role for someone who enjoys experimenting with AI, building prototypes and taking them through to production.

Key Responsibilities

• Build and deploy AI-powered features from prototype to production.
• Develop LLM integrations, agents, tool use and orchestration workflows.
• Build and maintain scalable backend services and APIs.
• Work with Product and Engineering to identify meaningful AI opportunities.
• Contribute to AI development practices, internal tooling and technical decisions.

Essential Skills

• Hands-on experience building applications with LLMs, using tools such as OpenAI, Anthropic, LangChain or LlamaIndex.
• Strong backend development skills, ideally with TypeScript and Node.js.
• Full-stack experience, with some familiarity with React.
• Experience with REST APIs, asynchronous programming and databases.
• Understanding of software testing, deployment and production-ready development.
• A practical, hands-on approach to AI experimentation and AI-assisted coding.

Desirable Experience

• Model Context Protocol (MCP) and AI agents.
• AWS, particularly Lambda, SQS/SNS, Bedrock or S3.
• Vector databases, embeddings and retrieval-augmented generation (RAG).
• Prompt engineering and LLM evaluation.
• Docker, CI/CD and multi-tenant SaaS platforms.
• AI safety, governance and responsible AI practices.

Interested in building practical AI solutions that make a real difference? We're keen to hear from engineers who enjoy experimenting with emerging technologies and turning them into useful, scalable products.