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- Tasks: Lead the design and implementation of reliable AI systems for a global platform.
- Company: Join a cutting-edge digital asset platform at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by innovating scalable AI solutions in a dynamic environment.
- Qualifications: 5+ years in AI/ML, experience with agent frameworks, and strong data engineering skills.
- Other info: Be part of a collaborative team driving the future of AI technology.
The predicted salary is between 43200 - 72000 £ per year.
A global digital asset platform seeks an experienced AI Engineer to design and implement reliable production AI systems. As part of the AI & Data Platform team, you will lead efforts in developing natural-language interfaces, architecting multi-agent systems, and collaborating cross-functionally to achieve scalable AI solutions.
The ideal candidate has over 5 years of experience with AI/ML systems, is well-versed in agent frameworks, and has a solid data engineering background. This role emphasizes technical leadership and innovation in a dynamic sector.
Lead AI Platform Engineer - Trusted, Scalable AI Systems in London employer: Bullish
Contact Detail:
Bullish Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Platform Engineer - Trusted, Scalable AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML systems. This is your chance to demonstrate your technical prowess and innovative thinking, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of agent frameworks and scalable AI solutions. Practice common interview questions and think about how your experience aligns with the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Lead AI Platform Engineer - Trusted, Scalable AI Systems in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience with AI/ML systems in your application. We want to see how you've tackled challenges and led projects in the past, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills mentioned in the job description. We’re looking for expertise in natural-language interfaces and multi-agent systems, so make those stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to your technical skills and achievements.
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 role.
How to prepare for a job interview at Bullish
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI/ML systems, especially the frameworks and technologies mentioned in the job description. Be ready to discuss your past projects and how you've tackled challenges in designing reliable production AI systems.
✨Showcase Your Leadership Skills
Since this role emphasises technical leadership, prepare examples that highlight your experience leading teams or projects. Think about times when you’ve had to innovate or guide others in developing scalable AI solutions.
✨Prepare for Technical Questions
Expect in-depth technical questions related to natural-language interfaces and multi-agent systems. Practise explaining complex concepts clearly and concisely, as you may need to demonstrate your thought process during problem-solving scenarios.
✨Cross-Functional Collaboration
This role involves working with various teams, so be ready to discuss your experience collaborating across functions. Share specific examples of how you’ve worked with different departments to achieve project goals and drive innovation.
