At a Glance
- Tasks: Design and develop AI solutions using Azure services to tackle real business challenges.
- Company: Join a dynamic tech team in Glasgow or London with a start-up vibe.
- Benefits: Enjoy competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Make a tangible impact in AI innovation while collaborating with talented professionals.
- Qualifications: Experience in software development and AI, especially with Azure services.
- Other info: Work in a vibrant environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- Align all operations procedures to service expectations, security requirements and other quality standards. Ensure 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.
- Define security procedures to be followed, and delegate tasks at the appropriate level.
Required 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.
- Extensive experience with Azure AI and PaaS services, including Azure OpenAI Service, Azure Cognitive Services, Azure Functions, and container services.
- Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation.
- Proficiency in handling large datasets, ideally with services like 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 hands-on development and implementation of production-grade enterprise cloud solutions.
Working arrangements: Remote/office hybrid: Expected to be in the office 1 to 2 days a week, with additional days depending on activity (e.g. a design workshop).
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Staffing and Recruiting and Software Development
We’re committed to ensuring that all processes are equitable, and everyone is treated with fairness and dignity. If you need any assistance or reasonable adjustments in submitting your application please let us know, and we’ll be happy to help.
AI Software Engineer employer: SThree
Contact Detail:
SThree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Don’t just sit back and wait for the job to come to you! Slide into the DMs of the job poster on LinkedIn or other platforms. A friendly message can make you stand out and show your enthusiasm for the role.
✨Tip Number 2
Network like a pro! Reach out to current employees at SThree or in similar roles. Ask them about their experiences and any tips they might have. This could give you insider knowledge and potentially a referral!
✨Tip Number 3
Prepare for those interviews by brushing up on your Azure skills and AI knowledge. Be ready to discuss how you’ve tackled challenges in past projects, especially with Azure services. We want to see your problem-solving skills in action!
✨Tip Number 4
Finally, don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team. Let’s get you that dream job!
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Software Engineer role. Highlight your experience with Azure services and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be sure to mention specific technologies or methodologies that excite you.
Showcase Your Projects: If you've worked on any AI projects, don't hold back! Include links to your GitHub or any other portfolio where we can see your work. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at SThree
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Azure OpenAI and PaaS offerings. Be ready to discuss how you've used these technologies in past projects and how they can solve specific business challenges.
✨Showcase Your Programming Skills
Prepare to demonstrate your proficiency in programming languages like Python, C#, or Java. Have examples ready that highlight your understanding of software development principles and Object Oriented Programming (OOP).
✨Be Ready for Technical Questions
Expect questions about machine learning algorithms, data pre-processing, and model evaluation. Brush up on your knowledge of deep learning frameworks like TensorFlow or PyTorch, as well as CI/CD pipelines and MLOps practices.
✨Emphasise Collaboration and Communication
Since the role involves working closely with various teams, be prepared to discuss your experience in agile environments. Highlight instances where your teamwork and communication skills led to successful project outcomes.