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- Tasks: Build AI agents and develop frontend workflows while orchestrating Kubernetes clusters.
- Company: Egregious, a cutting-edge tech company based in London.
- Benefits: Full-time position with opportunities for growth and learning.
- Other info: Immediate start required at our vibrant HQ in Old Street.
- Why this job: Join a dynamic team and make an impact with innovative technology.
- Qualifications: Proficiency in Python, Docker, and Kubernetes; open to graduates and juniors.
The predicted salary is between 35000 - 45000 £ per year.
Egregious in London is seeking a Full Stack Engineer to build AI agents that autonomously engage users. This is a full-time, on-site position at their HQ in Old Street.
You will develop frontend workflows, orchestrate Kubernetes clusters, and build APIs, while working closely with Data Scientists.
The role requires outstanding technical skills, including proficiency in Python, Docker, and Kubernetes, along with the ability to learn continuously and work under tight deadlines.
Graduate and junior applicants are welcome. Immediate start required.
Full-Stack Engineer: AI Agents, Data Viz & Kubernetes in London employer: Egregious
Contact Detail:
Egregious Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Engineer: AI Agents, Data Viz & Kubernetes in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Egregious on LinkedIn or attend tech meetups in London. Building connections can give us the inside scoop on the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, Kubernetes, and data visualisation. We want to see what you can do, so make it easy for them to be impressed!
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and Docker skills, and be ready to discuss your experience with Kubernetes. We recommend doing mock interviews to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have tips and resources available that can help you stand out from the crowd.
We think you need these skills to ace Full-Stack Engineer: AI Agents, Data Viz & Kubernetes in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in Python, Docker, and Kubernetes. We want to see how you can bring your expertise to the table, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with AI agents and data visualisation, as it shows us you’re a perfect fit for the role.
Be Yourself: Let your personality shine through in your application. We value authenticity, so don’t be afraid to show us who you are beyond your technical skills.
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 any important updates from us!
How to prepare for a job interview at Egregious
✨Know Your Tech Stack
Make sure you brush up on your Python, Docker, and Kubernetes skills before the interview. Be ready to discuss your experience with these technologies and how you've used them in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach building an AI agent or orchestrating a Kubernetes cluster. Practising coding problems or system design scenarios can help you articulate your thought process clearly.
✨Demonstrate Your Collaborative Spirit
Since you'll be working closely with Data Scientists, highlight any past experiences where teamwork was key to your success. Share examples of how you’ve collaborated on projects, resolved conflicts, or contributed to a team’s goals. This will show that you’re a great fit for their collaborative environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company culture, the team dynamics, or the specific projects you might be working on. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.