AI Tools Engineer

Position: AI Engineer

Location: Canary Wharf, UK

Engagement Type: Contract - Hybrid (2 days a week)

· About the Role We are looking for a hands-on AI Engineer to support the setup, configuration, integration, and adoption of modern AI-powered developer productivity tools.

· The ideal candidate will have practical experience working with AI-assisted coding platforms and DevOps ecosystems, helping teams deploy, configure, secure, and document AI solutions effectively.

· This engagement is focused on enabling engineering teams to leverage AI tools efficiently while ensuring governance, security, and best practices are followed.

Key Responsibilities

· Configure, deploy, and support AI-powered engineering tools across development teams.

· Assist with integration of AI coding assistants into existing development workflows and toolchains.

· Support implementation, onboarding, and troubleshooting for AI tools, including: Cursor Claude Code OpenAI Codex / Codex-based solutions GitHub Copilot GitHub Advanced Security Collaborate with engineering, security, and infrastructure teams to establish AI development best practices.

· Create technical documentation, knowledge articles, setup guides, and user training materials.

· Develop and maintain proof-of-concepts (POCs) demonstrating AI-assisted software development capabilities.

· Support governance, compliance, and security requirements for AI tool usage.

· Monitor adoption, gather feedback, and recommend process improvements.

· Provide user support, troubleshooting, and issue resolution related to AI tool deployment and usage.

Required Skills & Experience

· Hands-on experience with one or more AI developer tools such as: Cursor Claude Code GitHub Copilot Codex Similar AI-assisted coding solutions Strong understanding of software development lifecycle (SDLC) and modern engineering practices.

· Experience integrating developer tools with GitHub, CI/CD pipelines, and source control platforms.

· Knowledge of GitHub Advanced Security features, including: Code scanning Secret scanning Dependency scanning Familiarity with Large Language Models (LLMs), prompt engineering, and AI-assisted development workflows.

· Excellent troubleshooting and documentation skills.

· Strong communication and stakeholder management abilities.

Preferred Qualifications

· Experience deploying AI tools in enterprise environments.

· Knowledge of Azure OpenAI, OpenAI APIs, Anthropic Claude, or similar AI platforms.

· Understanding of application security and secure software development practices.

· Experience conducting user training sessions, workshops, or enablement programs.

· Familiarity with API integrations and automation scripting (Python, PowerShell, Bash, etc.).