Lead Software Engineer | AI-Driven, Governance-First

Sadler Recruitment

Wales

Hybrid

GBP 65,000 - 90,000

Full time

2 days ago
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Job summary

Sadler Recruitment seeks a hands-on technologist bridging business analysis and software delivery to drive AI-enabled public sector solutions. You will translate client requirements into viable technical designs, mentor developers, and collaborate with architects, PMs and engineers.

You will build in C#/.NET on Azure, front-end in React, and implement AI features such as RAG and LLM integrations, ensuring secure, scalable outcomes for government, healthcare, and universities.

Qualifications

  • Detailed coding experience with C#/.NET development.
  • Experience adding AI features to an existing production system.
  • Direct client-facing requirements work.
  • Experience reviewing code and setting standards within a team.
  • Public sector or regulated industry background.
  • Consultancy or systems integrator experience.

Responsibilities

  • Capture business requirements directly from client stakeholders
  • Assess technical feasibility against budget and constraints
  • Convert requirements into technical design and backlog items
  • Build the application in C#, .NET, and Azure
  • Build the front end in React
  • Implement retrieval-based AI features (RAG, LLM integration, agentic workflows)
  • Run sprint planning and backlog refinement
  • Review code and set delivery standards
  • Mentor other developers

Skills

C# / .NET
AI feature integration
Client-facing requirements
Code reviews / standards
Mentoring developers
Public sector experience
Consultancy / SI experience
React frontend

Tools

Azure
ReactJS

Job description

Sadler Recruitment seeks a hands-on technologist bridging business analysis and software delivery to drive AI-enabled public sector solutions. You will translate client requirements into viable technical designs, mentor developers, and collaborate with architects, PMs and engineers.

You will build in C#/.NET on Azure, front-end in React, and implement AI features such as RAG and LLM integrations, ensuring secure, scalable outcomes for government, healthcare, and universities.

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