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- Tasks: Develop innovative AI architectures and lead model lifecycle for system reliability.
- Company: Cutting-edge AI startup with a focus on impactful technology.
- Benefits: Flexible remote work, significant equity ownership, and influence on technical decisions.
- Why this job: Join a high-impact team and shape the future of AI technology.
- Qualifications: Extensive machine learning experience with large language models and agentic systems.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge AI startup is seeking a Senior AI Engineer to develop agentic architectures and lead model lifecycle, ensuring system reliability. The ideal candidate should have extensive machine learning engineering experience with large language models and a solid understanding of agentic systems.
This position offers a flexible, remote-first work environment, significant influence on technical decisions, and opportunities for generous equity ownership.
Senior AI Engineer - Remote-First, High Impact & Equity in Ashton-under-Lyne employer: Wilgot
Contact Detail:
Wilgot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Remote-First, High Impact & Equity in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at startups. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and agentic systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨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 Senior AI Engineer - Remote-First, High Impact & Equity in Ashton-under-Lyne
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your extensive machine learning engineering experience, especially with large language models. We want to see how your background aligns with the cutting-edge work we do at StudySmarter.
Be Specific About Your Skills: Don’t just list your skills; explain how you've applied them in real-world scenarios. We love seeing concrete examples of your work with agentic architectures and model lifecycles, so let us know what you've achieved!
Tailor Your Application: Take a moment to tailor your application to our job description. We appreciate when candidates take the time to connect their experiences with the specific requirements of the Senior AI Engineer role. It shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be processed smoothly, and we can get back to you quicker. Plus, it’s the best way to ensure your application gets into the right hands!
How to prepare for a job interview at Wilgot
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and agentic systems. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach developing agentic architectures or ensuring system reliability. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your thought process.
✨Be Ready for Technical Questions
Expect in-depth technical questions related to machine learning engineering. Brush up on algorithms, model lifecycle management, and any relevant programming languages. Practising coding challenges can also help you feel more confident when it comes to demonstrating your skills.
✨Emphasise Your Teamwork and Leadership Experience
Since this role involves significant influence on technical decisions, be prepared to discuss your experience leading teams or projects. Highlight how you’ve collaborated with others, mentored junior engineers, or contributed to a positive team culture. This will show that you’re not just a tech whiz but also a great team player.
