At a Glance
- Tasks: Design and develop cutting-edge AI systems while collaborating with diverse teams.
- Company: Innovative tech firm in Glasgow focused on AI advancements.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with ample learning opportunities in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in software programming, cloud platforms, and strong teamwork skills.
The predicted salary is between 45000 - 55000 £ per year.
The AI Engineer II is a mid-level position responsible for engineering AI based products and maintenance. As a mid-level engineer in this role, you will work closely with senior engineers and non-technical business stakeholders, contributing to the entire lifecycle of building and maintaining emerging LLM-based products. An important aspect of this role would be product design and execution bearing cost efficiency and speed.
The ideal candidate would have skills in software programming, building agentic systems, mathematics, and DevOps (including container operations, CI/CD, and cloud engineering). Good communication skills with an ability to demystify LLMs and agentic systems is a must, as stakeholders in AI products include software engineering teams as well as non-technical business partners.
Responsibilities:- Design, develop, and optimise agentic AI systems.
- Work with Product/business stakeholders to capture and establish requirements for AI products.
- Steer consolidation of dataset requirements, acquiring data, management, and version control for AI applications.
- Monitor AI products in production, setting metrics to identify performance (accuracy / retrieval rates / hit rates), and establish corrective measures for restoring performance.
- Identify and implement appropriate tools for monitoring AI product performance in production.
- Ownership of technical documentation related to design, model selection, experiments, and production infrastructure.
- Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in AI.
- Ability to work in a team.
- Experience with cloud computing platforms like AWS.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with version control systems like Git.
- Ability to leverage coding agents for accelerated software development.
- Nice to have: Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI.
- Knowledge of SQL and NoSQL databases including construction of queries, query optimisation, and schema design.
- API development using standard tools such as FastAPI or Flask.
- Good understanding of Machine Learning algorithms and models (Language processing models such as GPT, BERT, etc).
AI Engineer II employer: Zonda-Home
As an AI Engineer II at our Glasgow location, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including opportunities for professional development and continuous learning, ensuring you stay at the forefront of AI technology. Join us to be part of a forward-thinking team that values your contributions and supports your growth in a vibrant city known for its rich history and thriving tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer II
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and LLMs. We want to see your coding chops and how you’ve tackled real-world problems. Don’t forget to share it when you apply through our website!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. We need to demystify complex concepts for non-technical stakeholders, so practice explaining your work in simple terms. It’ll make a huge difference!
✨Tip Number 4
Stay updated with the latest trends in AI. Follow relevant blogs, podcasts, or online courses. We’re looking for candidates who are passionate about continual learning and can bring fresh ideas to the table!
We think you need these skills to ace AI Engineer II
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer II role. Highlight your experience with AI products, cloud platforms like AWS, and any relevant programming skills. We want to see how your background aligns 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 your skills can contribute to our team. Don't forget to mention your ability to communicate complex ideas clearly – it's key for working with both technical and non-technical stakeholders.
Showcase Your Projects:If you've worked on any AI projects, make sure to showcase them in your application. Whether it's through GitHub links or project descriptions, we love seeing practical examples of your work and how you’ve tackled challenges in AI engineering.
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, you'll find all the details about the role and our company culture there!
How to prepare for a job interview at Zonda-Home
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLMs like GPT and BERT. Be ready to discuss how you've designed or optimised agentic systems in the past, as well as any relevant projects you've worked on. This will show that you're not just familiar with the theory but can apply it practically.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can demystify AI for someone who might not have a tech background. This skill is crucial for ensuring everyone is on the same page during product development.
✨Showcase Your Team Spirit
Collaboration is key in this role, so be prepared to share examples of how you've successfully worked in teams before. Highlight your ability to listen, adapt, and contribute to group discussions, especially when it comes to capturing requirements from business stakeholders.
✨Get Hands-On with Tools
Familiarise yourself with the tools mentioned in the job description, like AWS, Docker, and Git. If you can, set up a small project using these technologies to demonstrate your skills. Being able to talk about your hands-on experience will give you an edge and show that you're proactive about learning.
