Full-Stack Engineer: AI Agents, Data Viz & Kubernetes
Full-Stack Engineer: AI Agents, Data Viz & Kubernetes

Full-Stack Engineer: AI Agents, Data Viz & Kubernetes

Full-Time 35000 - 45000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build AI agents and develop frontend workflows while orchestrating Kubernetes clusters.
  • Company: Egregious, a cutting-edge tech company based in London.
  • Benefits: Competitive salary, hands-on experience, and a vibrant work culture.
  • Other info: Immediate start in a fast-paced environment with growth opportunities.
  • Why this job: Join a dynamic team and make an impact with innovative AI technology.
  • Qualifications: Proficiency in Python, Docker, and Kubernetes; eager learners welcome.

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 employer: Egregious

Egregious offers a dynamic and innovative work environment in the heart of London, where creativity and technical expertise thrive. As a Full Stack Engineer, you'll have the opportunity to collaborate with talented Data Scientists and contribute to cutting-edge AI projects, all while enjoying a culture that prioritises continuous learning and professional growth. With a commitment to fostering talent, Egregious provides a supportive atmosphere that encourages new ideas and offers immediate opportunities for impactful contributions.
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Contact Detail:

Egregious Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Full-Stack Engineer: AI Agents, Data Viz & Kubernetes

✨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. This will help us stand out during interviews and demonstrate our hands-on experience.

✨Tip Number 3

Prepare for technical interviews by brushing up on Python, Docker, and Kubernetes. We can find plenty of resources online, including coding challenges and mock interviews, to help us ace those tricky questions.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with what Egregious is looking for in a Full Stack Engineer.

We think you need these skills to ace Full-Stack Engineer: AI Agents, Data Viz & Kubernetes

Full-Stack Development
AI Agent Development
Frontend Workflows
Kubernetes
API Development
Python
Docker
Collaboration with Data Scientists
Continuous Learning
Time Management

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: Take a moment to customise your application for this role. Mention your experience with AI agents and data visualisation, as it shows us you’re genuinely interested in what we do.

Be Yourself: We love authenticity! Let your personality shine through in your application. Share your passion for tech and how you approach problem-solving – it helps us get to know you better.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Egregious.

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.

✨Understand the Company’s Vision

Research Egregious and their mission. Knowing what they do and how they engage users with AI agents will help you align your answers with their goals. It shows genuine interest and helps you connect your skills to their needs.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, ongoing projects, or how they measure success in this role. This not only demonstrates your enthusiasm but also gives you a better understanding of the company culture.

Full-Stack Engineer: AI Agents, Data Viz & Kubernetes
Egregious

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