AI Engineer

• We will design, build, and deploy Generative AI and LLM-powered applications.
• We will develop AI assistants, copilots, and intelligent automation solutions.
• We will build Retrieval-Augmented Generation applications.
• We will work with vector databases and enterprise knowledge sources.
• We will integrate LLM and AI services through APIs and cloud architectures.
• We will develop and optimise prompts for enterprise AI applications.
• We will help engineering teams adopt the latest AI development technologies.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• C#
• Claude Code
• Cloud
• Copilot
• DevOps
• Docker
• GitHub
• Java
• JavaScript
• Jenkins
• Kubernetes
• LLM
• Python
• REST
• Terraform
• TypeScript
• microservices
• RAG, We are hiring an experienced AI Engineer or Generative AI Engineer for a major enterprise AI programme in London with an international bank. This is a 12-month contract on a blue-chip client engagement, and interviews are already being booked for a start in either August or early September.

• We are looking for an experienced AI Engineer or Generative AI Engineer with strong hands-on experience across Generative AI, Large Language Models, Retrieval-Augmented Generation, GitHub Copilot, and Agentic AI.
• We are particularly interested in experience with Large Language Models and Generative AI application development.
• We value experience with GitHub Copilot, Claude Code, OpenAI GPT, Azure OpenAI, and Anthropic Claude APIs.
• We value experience with Agentic AI tools such as LangChain, LangGraph, and CrewAI.
• We are looking for strong development experience with Python, JavaScript or TypeScript, C#, or Java.
• We expect experience with REST APIs, microservices, software architecture, and engineering best practices.
• Experience with Azure, AWS, or Google Cloud is advantageous.
• Experience with GitHub Actions, Azure DevOps, or Jenkins is advantageous.
• Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code is advantageous.