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- Tasks: Develop APIs for AI inference and enhance system reliability using cutting-edge technologies.
- Company: A growing tech company based in London with a focus on innovation.
- Benefits: Competitive compensation package including potential equity.
- Why this job: Join a dynamic team and work on exciting AI projects that shape the future.
- Qualifications: Experience with machine learning systems and GPU architectures required.
- Other info: Opportunity to grow in a fast-paced environment with a focus on technology.
The predicted salary is between 36000 - 60000 £ per year.
A growing technology company based in London is seeking an AI Inference Engineer to join their team. The role involves developing APIs for AI inference, improving system reliability, and exploring LLM optimizations using technologies like Python, Rust, C++, and PyTorch.
Candidates should have experience with machine learning systems and GPU architectures. This position offers competitive compensation including potential equity.
Real-Time AI Inference Engineer | Equity Eligible in London employer: Pantera Capital
Contact Detail:
Pantera Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time AI Inference Engineer | Equity Eligible in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving APIs, machine learning, or any cool AI stuff you've worked on. We want to see what you can do, so make it shine!
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, Rust, and C++ skills, and be ready to discuss your experience with GPU architectures. We’re looking for problem solvers, so practice coding challenges to get in the zone.
✨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 seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Real-Time AI Inference Engineer | Equity Eligible in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI inference and the technologies mentioned in the job description. We want to see how your skills in Python, Rust, C++, and PyTorch can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background makes you a perfect fit for this role. We love hearing about your projects and achievements!
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We’re keen to see how you’ve tackled challenges in machine learning systems and GPU architectures.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Rust, C++, and PyTorch. Brush up on your knowledge of APIs for AI inference and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in developing machine learning systems or optimising LLMs. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand GPU Architectures
Since the role involves working with GPU architectures, make sure you can explain how they impact AI inference performance. Be ready to discuss any relevant experience you have with optimising code for GPUs or improving system reliability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future plans for AI development. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.