AI Engineer

Prospect Global Ltd; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Prospect Global Ltd in London is seeking a highly skilled AI Engineer to build AI-powered software solutions using LLMs and modern generative AI tools. The role focuses on integrating AI models, automating workflows, and delivering enterprise-grade AI capabilities.

You will work with GitHub Copilot, Claude Code, OpenAI, Azure OpenAI, and related platforms, design AI-powered applications, and mentor teams on responsible AI practices while collaborating with business and technical stakeholders.

Qualifications

• AI & Generative AI expertise.
• Experience with Large Language Models (LLMs).
• Proficiency with cloud platforms (Azure/AWS/GCP).
• CI/CD pipelines using GitHub Actions, Azure DevOps or Jenkins.
• Docker and Kubernetes experience.
• Infrastructure as Code (Terraform preferred).

Responsibilities

• Design, develop, and deploy AI-powered applications using LLMs and Generative AI technologies.
• Build engineering solutions leveraging AI platforms and tools.
• Develop AI agents and workflow automation for enterprise use cases.
• Create RAG solutions using vector databases and knowledge repositories.
• Design and implement prompt engineering frameworks and evaluation mechanisms.
• Integrate AI services with enterprise apps via APIs and microservices.
• Mentor development teams on AI-assisted tooling and governance.

Skills

AI & Generative AI

LLMs

Cloud platforms

CI/CD

Stakeholder collaboration

Tools

GitHub Actions

Azure DevOps

Jenkins

Docker

Kubernetes

Terraform

Job description

Location: London — Hybrid (3 days a week)

Duration: 12 months

The Role

We are seeking a highly skilled AI Engineer with hands-on experience in building AI-powered software solutions using GitHub Copilot, Claude Code, and modern Large Language Models (LLMs). The ideal candidate will leverage AI-assisted development tools to accelerate software delivery, automate engineering workflows, and build intelligent applications utilizing agentic AI frameworks, code generation, and enterprise AI platforms.

The candidate should possess strong software engineering fundamentals along with expertise in integrating AI models into real-world applications and driving developer productivity through AI-assisted coding solutions.

Your responsibilities

Design, develop, and deploy AI-powered applications using LLMs and Generative AI technologies.

Build engineering solutions leveraging GitHub Copilot, Claude Code, OpenAI, Azure OpenAI, Anthropic Claude, and related AI platforms.

Develop AI agents, copilots, and workflow automation solutions for enterprise use cases.

Create retrieval-augmented generation (RAG) solutions using vector databases and knowledge repositories.

Design and implement prompt engineering frameworks and evaluation mechanisms.

Integrate AI services with enterprise applications using APIs, microservices, and cloud-native architectures.

Build automated coding assistants, developer productivity tools, and intelligent software engineering workflows.

Collaborate with business and technical stakeholders to identify AI-driven opportunities and translate them into scalable solutions.

Establish best practices for AI governance, security, model monitoring, and responsible AI implementation.

Mentor development teams on effective usage of AI-assisted development tools.

Your Profile

Essential skills/knowledge/experience: AI & Generative AI

Strong experience with Large Language Models (LLMs) and Generative AI.

Azure, AWS, or Google Cloud Platform.

CI/CD pipelines using GitHub Actions, Azure DevOps, or Jenkins.

Docker and Kubernetes.

Infrastructure as Code (Terraform preferred).