At a Glance
- Tasks: Own module architecture and solve complex backend challenges in AI.
- Company: Exciting pre-seed start-up focused on innovative AI solutions.
- Benefits: Remote work, competitive pay, and potential for contract extension.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: Experience with AI applications, LLMs, TypeScript, and AWS required.
- Other info: Great opportunity for growth in a dynamic start-up environment.
The predicted salary is between 36000 - 60000 £ per year.
A pre-seed start-up is seeking an AI Software Engineer with expertise in Knowledge Graphs for a remote position. The role involves owning module architecture, translating requirements into solutions, and tackling complex backend challenges.
Candidates must have proven experience with AI applications, notably using LLMs, and strong technical skills in TypeScript and AWS. This is an initial one-month contract with the possibility of extension based in the UK.
Remote AI Software Engineer — Graph Knowledge & LLMs in Leeds employer: Corriculo Recruitment
Contact Detail:
Corriculo Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Software Engineer — Graph Knowledge & LLMs in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with Knowledge Graphs and LLMs. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI applications and backend challenges. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on TypeScript and AWS. Practice coding challenges and be ready to discuss how you've tackled complex problems in the past. Confidence in your skills can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote AI Software Engineer — Graph Knowledge & LLMs in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI applications and Knowledge Graphs. We want to see how your skills in TypeScript and AWS can tackle the backend challenges we face.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your past experiences align with the role. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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 our team!
How to prepare for a job interview at Corriculo Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your TypeScript and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to AI applications and Knowledge Graphs.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some complex backend challenges during the interview. Think of examples from your past work where you faced tough problems and how you approached them. This will demonstrate your ability to own module architecture effectively.
✨Understand the Company’s Vision
Research the start-up's mission and values. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and can contribute to their success.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, project timelines, or the technology stack they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.