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Ai Integration Engineer

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AI INTEGRATION ENGINEER
Salary: £55,000 - £65,000 per annum
Location: Scotland
Working Hours: Monday - Friday
Employment Type: Permanent
The Role
An exciting opportunity has arisen for an experienced AI Integration Engineer to join a well-established and growing business operating within the construction and structural steel sector.
This is a hands-on role for an engineer who can take AI solutions from concept and prototype through to production, helping the business identify where AI can improve efficiency, accuracy, and user experience.
You will work closely with internal teams to design, develop, and integrate practical, secure AI solutions across existing business systems and platforms.
The Company
You will be joining a successful, family-run business with a long-standing reputation within the UK and Ireland's structural steel fabrication and construction industry.
The business has continued to invest in people, technology, and innovation and is now looking to bring AI further into its operations.
This is an excellent opportunity to play a key role in developing the company's AI capability from the ground up, with significant scope for ownership, innovation, and career development.
Key Responsibilities
- Design and deliver AI solutions using Microsoft Azure, including RAG, data classification, forecasting, and anomaly detection.
- Identify opportunities to introduce AI into existing business processes and systems.
- Integrate AI solutions with Microsoft 365, SharePoint, Teams, Entra ID, SQL databases, and other business applications.
- Develop straightforward and user-friendly AI applications for web and Microsoft Teams.
- Develop and deploy LLM and machine learning solutions into production environments.
- Implement monitoring, logging, and audit processes to support GDPR, ISO, and wider security requirements.
- Work with internal stakeholders to understand business requirements and translate them into practical technical solutions.
- Evaluate emerging AI technologies and make recommendations regarding their potential use within the business.
- Ensure solutions are secure, scalable, maintainable, and aligned with company standards.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Essential Experience
- 2-4 years' experience in AI/ML, software engineering, or a closely related field.
- Experience deploying LLM or machine learning solutions into production.
- Strong programming skills in Python and/or C#.
- Experience working with Microsoft Azure services such as:
- Azure App Service
- Azure AI Search
- Azure Functions
- Azure Storage
- Azure Key Vault
- Understanding of APIs, databases, and enterprise system integration.
- Experience or understanding of Microsoft 365 and Microsoft Graph API.
- Strong analytical and problem-solving ability.
- Ability to take AI projects from prototype through to robust production deployment.


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Desirable Skills
- Experience with Retrieval-Augmented Generation (RAG).
- Knowledge of vector databases.
- Experience with AI frameworks such as Haystack, LlamaIndex, or Semantic Kernel.
- Experience with forecasting, anomaly detection, or data classification.
- Knowledge of CNC, manufacturing, construction, or other industrial environments would be advantageous but is not essential.
- Understanding of GDPR, ISO standards, and secure AI development.
Ideal candidate
We are looking for someone who is technically strong but also pragmatic and commercially minded.
You will be comfortable experimenting with new AI technologies but equally focused on delivering solutions that are reliable, secure, and genuinely useful to the business.
This would suit an AI Engineer, AI Integration Engineer, Machine Learning Engineer, or Software Engineer with strong AI/LLM experience who is looking to take ownership of real-world AI implementation.
Streamline Search is a technical recruitment agency based in Chichester, West Sussex, operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR, by applying to this post, you are granting us consent to process your data and contact you in relation to this application.
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