At a Glance
- Tasks: Build ingestion pipes and contribute to knowledge graph systems and Next.js app.
- Company: Join a dynamic team at 60x, working directly with the CTO.
- Benefits: Gain hands-on experience with cutting-edge AI technology in a fast-paced environment.
- Other info: Exciting growth opportunities in a collaborative and innovative setting.
- Why this job: Kickstart your career in enterprise AI and make a real impact.
- Qualifications: Strong programming skills in Python or TypeScript; familiarity with knowledge graphs is a plus.
The predicted salary is between 30000 - 40000 £ per year.
60x is seeking a Junior Engineer to join a small senior engineering team, working directly with the CTO. You’ll be responsible for building ingestion pipes, working on knowledge graph internals, and contributing to the Next.js app.
Successful candidates will have strong fundamentals in programming languages like Python or TypeScript and should be able to demonstrate familiarity with projects, ideally involving knowledge graphs or retrieval systems. This role offers the opportunity to work with cutting-edge technology in a fast-paced environment. Join us to grow your career in the exciting field of enterprise AI.
AI Engineer: Context-Driven Knowledge Graph Systems in London employer: 60x
At 60x, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture where junior engineers can thrive. With direct mentorship from our CTO and opportunities to work on cutting-edge AI technologies, employees are encouraged to grow their skills and advance their careers in a supportive environment. Located in a vibrant tech hub, we offer competitive benefits and a dynamic atmosphere that inspires creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: Context-Driven Knowledge Graph Systems in London
✨Tip Number 1
Get your hands dirty with projects! If you’ve worked on any personal or academic projects involving knowledge graphs or retrieval systems, make sure to showcase them. We want to see your practical skills in action!
✨Tip Number 2
Network like a pro! Reach out to current employees at 60x on LinkedIn or attend industry meetups. Building connections can give us insights into the company culture and might even lead to a referral!
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and TypeScript. We recommend doing mock interviews or coding challenges to sharpen your problem-solving skills. The more prepared you are, the more confident you'll feel!
✨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. Plus, it shows you’re genuinely interested in joining our team at 60x!
We think you need these skills to ace AI Engineer: Context-Driven Knowledge Graph Systems in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and knowledge graphs. Share any relevant projects or experiences that highlight your skills in Python or TypeScript, as this will help us understand your passion and fit for the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this specific role. Highlight your experience with ingestion pipes and knowledge graph internals, and don’t forget to mention any familiarity with Next.js. This shows us you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications. Avoid jargon unless it’s relevant, and focus on what makes you a great fit for the Junior Engineer position.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 60x
✨Know Your Tech
Make sure you brush up on your programming skills, especially in Python and TypeScript. Be ready to discuss any projects you've worked on that involve knowledge graphs or retrieval systems, as this will show your familiarity with the core technologies they'll be using.
✨Understand the Role
Take the time to really understand what the Junior Engineer position entails. Familiarise yourself with building ingestion pipes and the internals of knowledge graphs. This will help you answer questions more confidently and demonstrate your genuine interest in the role.
✨Prepare Questions
Have a few thoughtful questions ready for the interviewers. Ask about the team dynamics, the technology stack they use, or how they envision the growth of the knowledge graph systems. This shows you're engaged and thinking about how you can contribute.
✨Show Your Passion
Let your enthusiasm for AI and cutting-edge technology shine through. Share why you're excited about the opportunity to work in enterprise AI and how you see yourself growing in this fast-paced environment. A positive attitude can make a big difference!
