AI Engineer

London Source: WhatJobs
See advert for pay

Overview

In this role you will design and productionise AI-enabled features using large language models, RAG, and agent frameworks to deliver business value. You will guide AI coding assistants, validate production-ready solutions, and ensure security, observability, and cost governance. You’ll prototype rapidly, build web-based applications, and integrate AI into our Azure-based platform. You’ll champion AI agent-led delivery across the team, shaping best practices and driving the adoption of advanced tooling. This is a hands-on, impact-oriented opportunity in a fast-moving, global financial services context.

Pay / Benefits

  • 25 days of annual leave
  • private healthcare
  • pension with up to 10% company match
  • hybrid working
  • volunteer day
  • share scheme

Responsibilities

  • Design, build and productionise AI-enabled features with LLMs, RAG, prompts, and agent frameworks
  • Own evaluation, testing, guardrails, observability, security and cost management for AI solutions
  • Rapidly prototype ideas and turn concepts into working software within days
  • Develop web-based applications and services, integrating AI with C#/.NET, React/Angular, Python on Azure
  • Direct AI coding assistants and orchestrate agent workflows, review code for architecture, security and quality
  • Own delivery of a small suite of business projects aligned with the technical vision
  • Drive adoption of AI agent-led delivery, coaching others in responsible use of AI tooling
  • Challenge existing SDLC processes for AI integration and collaborate with Engineering Leads on tooling

Key requirements

  • Hands-on experience with AI and agentic tech: LLMs, RAG, prompts, agent frameworks (LangChain, LangGraph, Semantic Kernel)
  • Experience using AI coding assistants/agentic tools (GitHub Copilot, Claude Code, Cursor) in delivery
  • Strong software engineering background (10+ years) with React/Angular, TypeScript, C#/.NET and Python
  • Azure cloud experience and GitHub/Azure DevOps across the SDLC and Agile delivery
  • Proven rapid prototyping from concept to demo in days
  • Experience leading, influencing and mentoring through hands-on work
  • Finance/insurance sector experience or ability to quickly adapt to a financial services environment
  • Excellent communication skills for collaboration with technical and business stakeholders
  • Ability to work independently or in teams, in remote or on-site settings
  • excellent communication
  • problem solving under pressure
  • ability to challenge established approaches
  • large language models
  • RAG and prompt engineering
  • LangChain, LangGraph, Semantic Kernel

Full job description from WhatJobs. Apply for this role →

Back to all jobs

Help others hire with confidence

Reviews on Trustpilot

Worked with Verifera as a candidate or employer? Your honest review helps the next person trust verified hiring.