At a Glance
- Tasks: Develop innovative multimodal agents for live game interaction.
- Company: MBN Solutions, a pioneering tech firm in AI and computer vision.
- Benefits: Unique ownership, competitive salary, and the chance to solve real-world challenges.
- Other info: Hybrid role based in Greater London with excellent growth potential.
- Why this job: Shape the future of AI while tackling exciting, real-world problems.
- Qualifications: Experience in automation, computer vision, and agent creation using images and videos.
The predicted salary is between 60000 - 80000 € per year.
MBN Solutions is looking for a Founding Applied AI Engineer to develop innovative multimodal agents capable of interacting with live games. You will play a pivotal role in shaping the core systems with true production considerations.
Ideal candidates will have experience in automation and computer vision, with a strong background in creating agents using images and videos. This hybrid position based in Greater London offers unique ownership and the opportunity to tackle challenging real-world problems.
Founding Computer Vision & AI Agent Engineer employer: MBN Solutions
MBN Solutions is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about AI and computer vision. Located in Greater London, employees benefit from unique ownership opportunities and the chance to work on cutting-edge projects that address real-world challenges, all while enjoying a supportive environment that prioritises professional growth and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Computer Vision & AI Agent Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and computer vision space on LinkedIn or at local meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving automation and computer vision. We love seeing real-world applications of your work, so make it pop!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common AI and computer vision scenarios, as they might just come up during your chat!
✨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, we love hearing from passionate candidates who are eager to tackle real-world challenges.
We think you need these skills to ace Founding Computer Vision & AI Agent Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in automation and computer vision. We want to see how you've tackled similar challenges in the past, so don’t hold back on those impressive projects!
Tailor Your Application:Take a moment to customise your application for this role. Mention how your background aligns with developing multimodal agents and interacting with live games. It’ll show 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 necessary. Let’s get to the point and make your skills shine!
Apply Through Our Website:Don’t forget 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 MBN Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in computer vision and AI. Brush up on your knowledge of multimodal agents and be ready to discuss how you've applied these concepts in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of real-world problems you've tackled using automation and computer vision. Highlight your thought process and the impact of your solutions, as this will demonstrate your ability to contribute to MBN Solutions' innovative projects.
✨Demonstrate Ownership and Initiative
Since this role offers unique ownership, be ready to discuss times when you took the lead on a project. Talk about how you approached challenges and drove results, showing that you can thrive in a hybrid position with significant responsibilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for AI and how they plan to integrate these multimodal agents into live games. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
