At a Glance
- Tasks: Design and build AI systems that enhance engineering workflows.
- Company: Join Glassbox, a leader in AI innovation and engineering.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Be part of a dynamic team driving AI-first solutions.
- Why this job: Shape the future of engineering with cutting-edge AI technology.
- Qualifications: 2-5+ years in backend or platform engineering and LLM experience.
The predicted salary is between 60000 - 80000 £ per year.
Glassbox is seeking a hands-on AI Agent Engineer to design and build production-grade AI systems that integrate into engineering workflows. The ideal candidate will have 2-5+ years of backend or platform engineering experience, as well as proven experience building and deploying LLM-based agents.
You will work closely with engineering teams to ensure integration, balance autonomy, and focus on delivering reliable systems. Join us to shape modern engineering organizations in the AI-first era.
Autonomous AI Platform Engineer — Copilot Agents in Norwich employer: Glassbox
At Glassbox, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive in the rapidly evolving AI landscape. With a strong emphasis on collaboration and professional development, we offer numerous growth opportunities for our team members, alongside competitive benefits that support work-life balance. Located in a vibrant tech hub, our company is at the forefront of shaping the future of engineering, making it an exciting place for those passionate about AI and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Autonomous AI Platform Engineer — Copilot Agents in Norwich
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Glassbox employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM-based agents. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend and platform engineering knowledge. Practice coding challenges and system design questions to ensure you're ready to impress during the interview process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Glassbox. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Autonomous AI Platform Engineer — Copilot Agents in Norwich
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and engineering shine through. We want to see how your experience aligns with our mission to shape modern engineering organisations in the AI-first era.
Highlight Relevant Experience:Make sure to detail your 2-5+ years of backend or platform engineering experience. We’re looking for proven experience in building and deploying LLM-based agents, so don’t hold back on showcasing your achievements!
Tailor Your Application:Customise your application to reflect the specific requirements of the Autonomous AI Platform Engineer role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into the picture.
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’re considered for this exciting opportunity to work with us at Glassbox!
How to prepare for a job interview at Glassbox
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLM-based agents. Be ready to discuss your past projects and how you've integrated AI into engineering workflows. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Engineering Experience
Prepare to talk about your backend or platform engineering experience in detail. Highlight specific projects where you’ve designed and built production-grade systems. Use examples that demonstrate your ability to balance autonomy and reliability in your work.
✨Collaboration is Key
Since you'll be working closely with engineering teams, be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve ensured smooth integration of systems and how you handle feedback from team members to improve your projects.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s approach to AI and engineering workflows. This shows your genuine interest in the role and helps you understand how you can contribute to shaping modern engineering organisations.
