AI Engineer (Generative & Agentic AI)

Overview

In this AI Engineer role you design, build and deploy AI-powered solutions for a professional services environment. You will work within a growing AI function to accelerate AI adoption, deliver agentic AI, and automate business processes while ensuring governance and security. You’ll partner with stakeholders to identify high-impact opportunities and deliver scalable, production-ready AI solutions. This is a hands-on, cross-functional role with strong engineering foundations and a focus on real-world outcomes.

Pay / Benefits

• Hybrid work location (London/Manchester)
• Competitive salary + benefits

Responsibilities

• Design and develop AI-powered applications using LLMs and modern AI frameworks
• Build and deploy agentic AI solutions to automate workflows and enhance business processes
• Develop Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search
• Design and implement AI orchestration pipelines using LangChain, LangGraph, Semantic Kernel, AutoGen or similar
• Integrate AI with enterprise applications, APIs and automation platforms
• Collaborate with business stakeholders to identify AI-driven improvement opportunities
• Contribute to internal AI tools to improve operational efficiency and client delivery
• Support AI governance, responsible AI practices, security controls and identity management
• Ensure AI solutions are scalable, secure and production-ready
• Help establish best practices around testing, monitoring and evaluation of AI systems

Key requirements

• Commercial experience building AI, Generative AI or Agentic AI solutions
• Strong software engineering skills with Python, .NET or similar
• Experience with Large Language Models and AI services (OpenAI, Azure OpenAI, Anthropic Claude)
• Hands-on experience with AI orchestration frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI)
• Experience deploying cloud-native applications (Azure, AWS or GCP)
• Strong understanding of APIs, system integration and modern software development practices
• Excellent problem-solving and analytical thinking
• Ability to work independently and collaborate with technical and non-technical stakeholders

• Curious problem-solver
• Collaborative teamwork
• Practical thinker focused on outcomes
• Python
• .NET or similar language
• Large Language Models (LLMs)

…