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- Tasks: Collaborate with the CEO on AI strategies and design innovative developer tools.
- Company: Forward-thinking tech firm focused on AI advancements.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Shape the future of AI and enhance operational efficiency across departments.
- Qualifications: 2+ years in deep machine learning; Rust expertise is a plus.
- Other info: Join a dynamic team and make a real impact in the tech industry.
The predicted salary is between 36000 - 60000 £ per year.
A technology firm is seeking an AI Engineer to work directly with the CEO on strategic R&D to leverage AI for improving efficiency and automating workflows. The role involves designing developer tooling and evaluating AI technologies. The ideal candidate has over 2 years of experience with deep machine learning and preferably expertise in Rust. This position offers an opportunity to influence how AI is integrated into various departments and improve overall operational efficiency.
AI Engineer: Strategy, R&D & Automation employer: Raiku
Contact Detail:
Raiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Strategy, R&D & Automation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to AI and automation. This is your chance to demonstrate how you can leverage AI to improve efficiency, just like the role requires.
✨Tip Number 3
Prepare for the interview by brushing up on your deep machine learning knowledge and Rust expertise. Be ready to discuss how you've used these skills in past projects and how they can benefit the company's R&D efforts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace AI Engineer: Strategy, R&D & Automation
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform businesses. Share any personal projects or experiences that highlight your love for deep machine learning and automation.
Tailor Your CV to the Role: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your expertise in Rust and any relevant projects you've worked on that demonstrate your ability to design developer tooling.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Discuss your experience with strategic R&D and how you envision leveraging AI to improve efficiency and workflows within a company.
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’re considered for this exciting opportunity to work closely with our CEO!
How to prepare for a job interview at Raiku
✨Know Your AI Stuff
Make sure you brush up on your deep machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving AI technologies. The more you can demonstrate your expertise, the better!
✨Showcase Your Rust Skills
If you have experience with Rust, highlight it! Prepare examples of how you've used Rust in your previous roles, particularly in developing tooling or automating workflows. This will show that you're not just familiar with the language but can apply it effectively.
✨Understand the Company’s Vision
Research the technology firm and its current AI initiatives. Knowing their goals and how they plan to leverage AI will help you align your answers with their vision. It shows that you're genuinely interested in the role and can contribute to their strategic objectives.
✨Prepare for Strategic Discussions
Since you'll be working directly with the CEO, be ready to engage in high-level discussions about R&D strategies. Think about how AI can improve efficiency across departments and come prepared with ideas or questions that demonstrate your strategic thinking.
