At a Glance
- Tasks: Design and develop cutting-edge AI systems while collaborating with diverse teams.
- Company: Join a forward-thinking tech company in the heart of Glasgow.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: 3+ years in AI development, strong Python skills, and a passion for problem-solving.
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.
- Bachelor's degree in computer science, Engineering, or a related field.
- 3+ years of experience in AI product development or Machine Learning.
- Proficient in Python.
- Built and deployed at least two LLM-based or NLP-heavy products in a real setting likely using agentic frameworks like LangGraph, LangChain, AutoGen etc.
- Strong mathematical, analytical, and problem-solving skills.
- Experience with retrieval systems, embeddings, and vector DBs like Weaviate or Pinecone.
- Ability to structure and execute an Agentic AI project from start to completion.
- Excellent communication and teamwork skills; 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.
- 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 in Glasgow employer: Zonda-Home
As an AI Engineer II at our Glasgow location, you will join a dynamic team that fosters innovation and collaboration, providing a supportive environment for professional growth. We prioritise employee development through continuous learning opportunities and encourage a culture of open communication, ensuring that your contributions are valued and impactful. With competitive benefits and a commitment to work-life balance, we offer a rewarding career path in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer II in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM-based projects and any cool AI systems you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, so you can impress both technical and non-technical stakeholders during your chats.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace AI Engineer II in Glasgow
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI product development and any specific frameworks you've used. We want to see how your skills in Python and agentic systems can shine through in your application!
Tailor Your Application:Don’t just send a generic CV and cover letter. Tailor them to reflect the job description, especially focusing on your experience with LLMs and cloud platforms like AWS. This shows us you’re genuinely interested in the role!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your past projects and achievements. Remember, we want to understand your journey without getting lost in jargon.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Zonda-Home
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI products, especially LLMs and agentic systems. Be ready to discuss your experience with Python and any frameworks you've used, like LangGraph or LangChain. This will show that you're not just familiar with the theory but have practical experience too.
✨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 the role and will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous projects, particularly those involving AI product development. Highlight your analytical skills and how you've used them to optimise performance metrics or improve retrieval rates in past roles.
✨Be Ready to Discuss Tools and Technologies
Familiarise yourself with the tools mentioned in the job description, like Docker, Kubernetes, and cloud platforms like AWS. Be prepared to talk about your experience with version control systems like Git and how you've used these tools in your projects to enhance efficiency.
