AI Software Engineer

SThree is excited to announce an opportunity for a talented AI Software Engineer to join our dynamic team. You’ll be based in one of our fantastic office spaces in Glasgow or London, working in a collaborative environment where your expertise will make a real impact. Our team works as part of a high-impact internal organisation with a start-up-like environment.

As an AI Software Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our enterprise organisation. Leveraging the Azure platform, including PaaS services, Azure Open AI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation.

Who will you be working for?

SThree is the global STEM-workforce consultancy. We connect sought-after specialists with dynamic organisations around the world. We advise businesses, build expert teams, and deliver project solutions to drive innovation across STEM sectors, helping them to Outpace tomorrow, together.

What are the key expectations of this role?

• Design and develop AI models and solutions using Azure OpenAI, Azure PaaS services, and Azure Cognitive Services to address specific business challenges.
• Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks.
• Work in a small, energetic, high-impact group that delivers value fast and iterates continuously.
• Collaborate with business analysts, data scientists, software engineers, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact.
• Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings.
• Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and innovation efforts.
• Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions.
• Develop robust testing and validation processes to ensure the accuracy and reliability of AI models and solutions.
• Ensure that operational issues are identified, recorded, monitored and resolved. Conduct investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers.
• Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures and documentation are fit for purpose and kept up to date.
• Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks at the appropriate level.

Skills, Knowledge & Experience …

• Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles and Object Oriented Programming (OOP).
• Experience with LLMs and Agentic frameworks like Semantic Kernel, AutoGen, CrewAI or LangGraph, with a solid understanding of the intersection between AI and Software Engineering. Additionally, any knowledge of protocols like MCP, Agent2Agent or similar are really desirable.
• Extensive experience with Azure AI and PaaS services, including Azure OpenAI Service, Azure Cognitive Services, Azure Functions, and container services. Familiarity with Azure data services is a plus.
• Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation is a big plus. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.
• Proficiency in handling large datasets, ideally with services like with Azure Data Factory, Azure SQL Database, and Cosmos DB, or similar.
• Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps or similar.
• Strong analytical and problem-solving abilities, with the capability to work on complex issues and drive innovative solutions.
• Deep understanding of Azure Cloud services relevant to AI, such as Azure Function Apps, Azure Container Apps, Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.
• Excellent communication and teamwork skills, with experience working in agile development environments.

Qualifications

• University degree in computer science or software engineering and/or 5+ years equivalent work experience within a cloud environment.
• Software Engineering, Data Science or AI Engineering experience, with hand-on development and implementation of production-grade enterprise cloud solutions.
• Cloud Certifications desirable
• Qualifications such as the following would be advantageous, however not necessary:
• Microsoft Azure AI Engineer Fundamentals / Associate
• Microsoft Azure Data Engineer
• Microsoft Data Scientist Associate

Remote Working

• Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

Benefits for our U.K. teams include:

• The choice to work flexibly from home and the office, in line with our hybrid working principles
• Bonus linked to company and personal performance
• Generous 28 days holiday allowance, plus public holidays
• Annual leave purchase scheme
• Five days paid Caregiver/Dependent leave per annum
• Five paid days off per year for volunteering
• Private healthcare, discounted dental insurance and health care cashback scheme
• Opportunity to participate in the company share scheme
• Access to a range of retail discounts and saving

What we stand for...

We’re committed to ensuring that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and connected. If you need any assistance or reasonable adjustments in submitting your application please let us know, and we’ll be happy to help.