Senior Engineer

Grant Thornton UK; Sheffield; Hybrid; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Flexible working arrangements

Reduced hours

Job shares

Job summary

Grant Thornton UK in the North of England seeks a Senior Engineer for the Generative AI Platform. This hands-on individual contributor role builds and operates production-grade GenAI solutions that deliver measurable client value.

You will own end-to-end delivery, design scalable backend services and integrations, and apply engineering judgment to choose native platform extensions or bespoke engineering, using Azure and MCP tooling.

Qualifications

• Proven experience owning delivery in a team-based model, with a track record of shipping production software.
• Strong backend and integration engineering skills using Python or C# .NET.
• Judgement in choosing native platform solutions versus custom engineering.
• Familiarity with Azure and Microsoft 365; experience with LLM integration patterns, MCP tooling and AI-enabled development environments is an advantage.
• Comfortable using GenAI tools such as Copilot, Claude or ChatGPT.

Responsibilities

• Own end-to-end delivery, translating business needs into technical design and building production-ready solutions.
• Develop and maintain backend services, API integrations, MCP server builds and data connections.
• Apply engineering judgment to decide when to solve natively within the platform versus bespoke external engineering.
• Design architecture, data flow and integrations, ensuring scalability and performance.
• Use AI tooling to accelerate coding and operationalise solutions.

Skills

Backend engineering

Python

C# .NET

Azure

LLM integration

GenAI tools

Copilot/Claude/ChatGPT

Tools

MCP tooling

AI-enabled development environments

Job description

Job Overview

Senior Engineer – Generative AI Platform
Based in the North of England, this hands‑on individual contributor role focuses on building and operating solutions within Grant Thornton's GenAI platform to deliver measurable value to clients.

Responsibilities

• Own end‑to‑end delivery, translating business needs into technical design and building production‑ready solutions.
• Develop and maintain backend services, API integrations, MCP server builds and data connections.
• Apply engineering judgment to decide when to solve natively within the platform versus bespoke external engineering.
• Design architecture, data flow and integrations, ensuring scalability and performance.
• Use AI tooling to accelerate coding and operationalise solutions.

Qualifications

• Proven experience owning delivery in a team‑based model, with a track record of shipping production software.
• Strong backend and integration engineering skills using Python or C# .NET.
• Judgement in choosing native platform solutions versus custom engineering.
• Familiarity with Azure and Microsoft 365; experience with LLM integration patterns, MCP tooling and AI‑enabled development environments is an advantage.
• Comfortable using GenAI tools such as Copilot, Claude or ChatGPT.

Benefits

Flexible working arrangements including reduced hours and job shares are considered to support work‑life balance.