At a Glance
- Tasks: Develop AI-powered products and deploy applications using modern LLM APIs.
- Company: Experis, a dynamic team focused on impactful solutions.
- Benefits: Equity opportunities, competitive salary, and hands-on experience with cutting-edge technology.
- Other info: Exciting environment with potential for significant career growth.
- Why this job: Join founders to create real-world solutions and make a difference.
- Qualifications: Strong software engineering skills and experience with LLMs and cloud infrastructure.
The predicted salary is between 60000 - 80000 € per year.
Experis in Reading seeks a Founding Engineer to develop AI-powered products. You'll build and deploy applications using modern LLM APIs and scalable backend systems.
The ideal candidate has strong software engineering fundamentals, hands-on experience with LLMs, and a background in backend systems and cloud infrastructure.
Join a dynamic team working directly with founders to create impactful solutions for real-world problems.
Founding AI Engineer — Equity & Real Impact in Reading employer: Experis
Experis in Reading is an exceptional employer that fosters a collaborative and innovative work culture, where you will have the opportunity to work closely with founders on cutting-edge AI projects. With a strong emphasis on employee growth, we offer continuous learning opportunities and a supportive environment that encourages creativity and impact. Join us to be part of a team that values your contributions and is dedicated to making a real difference in the world through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer — Equity & Real Impact in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering space, especially those who are already working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and backend systems. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your software engineering fundamentals. Be ready to discuss your past experiences and how they relate to building AI-powered products. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Founding AI Engineer — Equity & Real Impact in Reading
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let us see your enthusiasm for AI and how it can solve real-world problems. Share any projects or experiences that highlight your skills with LLMs and backend systems.
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your software engineering fundamentals and any relevant experience with cloud infrastructure. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be genuine, share your journey in tech, and explain how you can contribute to our mission of creating impactful solutions.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Experis
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss your hands-on experience with them, including any specific projects you've worked on. This will show that you not only understand the theory but also have practical skills to back it up.
✨Showcase Your Backend Skills
Since the role involves building scalable backend systems, be ready to talk about your experience in this area. Bring examples of past projects where you’ve implemented backend solutions, and be prepared to discuss the technologies you used and the challenges you faced.
✨Understand Cloud Infrastructure
Familiarise yourself with cloud infrastructure as it’s crucial for deploying applications. Be ready to discuss your experience with cloud services, how you’ve utilised them in previous roles, and any best practices you follow when working in a cloud environment.
✨Align with Their Mission
Research Experis and their mission to create impactful solutions for real-world problems. Think about how your values align with theirs and be prepared to articulate why you want to be part of a team that focuses on equity and real impact. This will demonstrate your genuine interest in the role.
