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- Tasks: Design and build knowledge graphs for next-gen AI applications.
- Company: Fast-growing AI software startup with a focus on innovation.
- Benefits: Remote work, competitive salary, and high-impact opportunities.
- Why this job: Influence AI product accuracy and work on cutting-edge technology.
- Qualifications: 3+ years of experience with knowledge graphs and expert Python skills.
- Other info: Join a well-funded startup with exciting growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing AI software startup is seeking an AI Knowledge Graph Engineer to design and build foundational knowledge graphs for next-generation AI applications.
Responsibilities include:
- Implementing GraphRAG strategies for accuracy
- Architecting schemas for complex queries
The ideal candidate has:
- Over 3 years of experience with knowledge graphs
- Expert Python skills
- A strong understanding of data engineering methodologies
This remote role at a well-funded startup offers a high-impact opportunity to influence AI product accuracy.
Remote AI Knowledge Graph Engineer (GraphRAG) employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Knowledge Graph Engineer (GraphRAG)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your previous work with knowledge graphs and Python projects. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on GraphRAG strategies and complex query architectures. Practice explaining your thought process and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and passionate about joining our team. Plus, it makes it easier for us to find your application!
We think you need these skills to ace Remote AI Knowledge Graph Engineer (GraphRAG)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with knowledge graphs and Python in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to designing and building knowledge graphs, as it shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’d be a great fit for the team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jack & Jill
✨Know Your Graphs
Make sure you brush up on your knowledge graph concepts and the latest trends in AI applications. Be ready to discuss your past experiences with designing and implementing knowledge graphs, as well as any specific GraphRAG strategies you've used.
✨Show Off Your Python Skills
Since expert Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures that relate to knowledge graphs.
✨Understand Data Engineering Methodologies
Familiarise yourself with data engineering principles, especially those relevant to knowledge graphs. Be prepared to discuss how you’ve applied these methodologies in your previous roles and how they can enhance the accuracy of AI products.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s vision for AI applications and how they plan to leverage knowledge graphs. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
