AI Engineer

Amtis Professional; Chester; On-site; GBP 50,000 - 60,000; Full time

Job summary

Amtis Professional is seeking an AI Engineer to design, develop and deploy AI-enabled software using .NET/C# and Azure services. You will work across the full SDLC in a hybrid role based in Chester.

The role combines software engineering with applied AI, including building scalable enterprise applications, AI features, RAG and vector search, and secure, observable production systems. You’ll collaborate with an established AI capability and engineering standards.

Qualifications

• Strong commercial software engineering experience, ideally within the Microsoft technology stack.
• Good development experience with C#/.NET and modern software engineering practices.
• Experience designing, building and deploying production applications within Microsoft Azure.
• Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar.
• Understanding of RAG, LLMs, vector search and agentic AI concepts.
• Experience integrating applications with APIs, cloud services and enterprise systems.
• Strong understanding of DevOps, CI/CD, source control and automated testing.
• Experience building secure, scalable and maintainable production software.
• An interest in emerging AI technologies and how they can be applied to solve real business problems.

Responsibilities

• Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure.
• Building AI capabilities into enterprise applications and existing business processes.
• Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services.
• Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems.
• Building agentic AI applications, including multi-agent workflows and orchestration.
• Developing RAG solutions using vector search, enterprise data and retrieval techniques.
• Writing clean, maintainable and well-tested production code.
• Working with CI/CD pipelines, source control, automated testing and DevOps practices.
• Ensuring applications are secure, scalable, resilient and observable.
• Contributing to architecture, technical design and engineering standards.
• Working with stakeholders to understand business problems and translate them into effective software solutions.

Skills

C# / .NET

Microsoft Azure

AI/ML concepts

DevOps / CI-CD

API integration

AI concepts (RAG, LLMs, vector search)

Tools

Azure AI Foundry

Semantic Kernel

Agent Framework

Azure OpenAI

Job description

AI Engineer (.Net/AI)

Location: Chester | Hybrid Working

Permanent – Full-time
Salary: £50,000–£60,000

We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad.

This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment.

The Role

As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities.

You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement.

Responsibilities will include:

• Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure.
• Building AI capabilities into enterprise applications and existing business processes.
• Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services.
• Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems.
• Building agentic AI applications, including multi-agent workflows and orchestration.
• Developing RAG solutions using vector search, enterprise data and retrieval techniques.
• Writing clean, maintainable and well-tested production code.
• Working with CI/CD pipelines, source control, automated testing and DevOps practices.
• Ensuring applications are secure, scalable, resilient and observable.
• Contributing to architecture, technical design and engineering standards.
• Working with stakeholders to understand business problems and translate them into effective software solutions.

What We're Looking For

• Strong commercial software engineering experience, ideally within the Microsoft technology stack.
• Good development experience with C#/.NET and modern software engineering practices.
• Experience designing, building and deploying production applications within Microsoft Azure.
• Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar.
• Understanding of RAG, LLMs, vector search and agentic AI concepts.
• Experience integrating applications with APIs, cloud services and enterprise systems.
• Strong understanding of DevOps, CI/CD, source control and automated testing.
• Experience building secure, scalable and maintainable production software.
• An interest in emerging AI technologies and how they can be applied to solve real business problems.

You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career.

This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices and some of the latest developments across Microsoft AI.