IMT Resourcing Solutions
AI & Automation Engineer
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AI & Automation Engineer
Location: Worcester
Job Type: Permanent
Working: Hybrid
Salary: Competitive, dependent on experience
We're working with an established global business looking to appoint an AI & Automation Engineer to develop and deliver practical AI and automation solutions across the organisation.
This is a hands-on technical role for someone who enjoys building solutions, not just exploring what AI can do.
You'll work on projects that involve developing AI-powered applications, automating business processes, and integrating new technologies with existing systems. The focus is on taking solutions from initial concept through to successful deployment in a live business environment.
What you'll be doing
- Design, develop, and deploy AI applications using Python and modern AI technologies.
- Build solutions using Large Language Models (LLMs), including Retrieval Augmented Generation (RAG) architectures.
- Develop intelligent assistants, automated workflows, and applications that improve business processes.
- Integrate AI solutions with existing applications, databases, and enterprise systems using APIs.
- Work with stakeholders to identify opportunities where AI and automation can deliver measurable improvements.
- Take ownership of technical development, testing, deployment, and ongoing optimization.
- Ensure applications are secure, scalable, and reliable for production use.
- Evaluate emerging technologies and recommend practical approaches to solving business challenges.
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What we're looking for
- Strong Python development experience, particularly building applications and working with APIs.
- Hands-on experience developing applications using LLMs, generative AI, or cloud-based AI services.
- Experience building RAG solutions and working with structured and unstructured data.
- A proven track record of developing and deploying applications into production environments.
- Experience integrating software applications with existing business systems and data sources.
- Understanding of software engineering best practices, application security, and deployment.
- Strong problem-solving skills and the ability to translate business requirements into working technical solutions.
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Desirable experience
- Experience working with cloud platforms such as Azure or AWS.
- Knowledge of intelligent automation, workflow orchestration, or robotic process automation.
- Exposure to enterprise application integrations and document management systems.
- Familiarity with modern AI development frameworks and tooling.
- Experience delivering technology solutions within a large or complex organization.
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