AI Engineer

Amtis Professional Ltd
Chester, UK
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£50,000.0 - £60,000.0
Working hours
Regular working hours

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Automation of Tests Microsoft Azure C Sharp (Programming Language) Continuous Integration DevOps Machine Learning Microsoft Software Commercial Software
+13 more
Cloud Services Azure Machine Learning Search Technologies Software Engineering Software Systems Enterprise Data Management Enterprise Software Applications Large Language Models Multi-Agent Systems Build Management Production Code Virtual Agents Software Version Control

Job description

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.

Requirements

  • 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.

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Prepare application

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