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- Tasks: Build and scale AI platforms, executing innovative projects for a leading hedge fund.
- Company: Dynamic multi-strategy hedge fund with a collaborative engineering culture.
- Benefits: Competitive salary, strong ownership, and greenfield project opportunities.
- Why this job: Shape the future of AI in production at scale while working with cutting-edge technologies.
- Qualifications: Experience in Python, AWS, and AI tools like LLMs and intelligent agents.
- Other info: Join a team that values innovation and offers excellent career growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading multi-strategy hedge fund is looking for an AI Platform Engineer to build and scale platform-oriented solutions for AI enablement, as well as executing AI projects for their Core Technology Team. The firm are looking for a dynamic engineer who can develop tools and platforms that leverage LLMs, code generation and intelligent agents to streamline code delivery, testing and deployment.
The successful candidate will act as a bridge between the applied AI group, platform teams and development community to identify opportunities to enhance software delivery using AI.
Stack: Python, AWS, LLMs, intelligent agents
The firm offers an engineering-led, highly collaborative environment with strong ownership, greenfield platform work, and the unique opportunity to shape how AI is used in production at scale. Please get in touch if this is of interest.
AI Platform Engineer - Multi-Strat Hedge Fund employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer - Multi-Strat Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at hedge funds or in AI roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, Python, and AWS. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant concepts. Focus on LLMs, code generation, and intelligent agents. Practise coding challenges and be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by the hiring team directly.
We think you need these skills to ace AI Platform Engineer - Multi-Strat Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our Core Technology Team. Let us know what makes you a great fit for building and scaling AI solutions.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges using AI or platform engineering. We love seeing how you think critically and creatively to enhance software delivery!
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 Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and LLMs. Brush up on your knowledge of intelligent agents too! Be ready to discuss how you've used these technologies in past projects and how they can be applied to enhance software delivery.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in AI projects. Think about times when you identified opportunities for improvement and how you executed solutions. This will demonstrate your ability to bridge the gap between teams effectively.
✨Understand the Company Culture
Familiarise yourself with the firm’s engineering-led and collaborative environment. Be prepared to discuss how you thrive in team settings and how you can contribute to a culture of strong ownership and innovation in AI platform development.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI projects, the tools they use, or how they envision the future of AI in their operations. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
