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- Tasks: Join us as an AI Engineer to create innovative solutions for top financial institutions.
- Company: Leopard Labs is revolutionising institutional capital with cutting-edge AI technology.
- Benefits: Enjoy remote work, equity opportunities, and collaboration with industry leaders.
- Why this job: Be part of a fast-paced startup culture that values creativity and impact in fintech.
- Qualifications: Full-stack engineering experience and familiarity with LLM-powered systems are essential.
- Other info: This role is remote but candidates must be based in Europe.
The predicted salary is between 36000 - 60000 £ per year.
Leopard Labs is a Bifrost Studios investment building the AI OS for institutional capital. They partner with the world’s top hedge funds and financial institutions to identify real workflow friction points - then design, validate, and launch precision-engineered tools to solve them, turning today’s analog processes into tomorrow’s autonomous ones. This is how the next generation of investment organizations will think, decide, and operate.
We’re looking for a self-starter with a hacker mindset and a strong bias toward action. You should thrive in fast-paced environments, be comfortable navigating ambiguity, and enjoy turning zero-to-one product ideas into reality. In this role, you’ll work with cutting-edge technologies to build real solutions for some of the world’s most sophisticated financial institutions - firms managing trillions in assets. You’ll report directly to the CEO, a seasoned founder with a background at McKinsey and Rocket Internet. This is a remote-first role, but candidates must be based in Europe.
Requirements
- Proven full-stack engineering background with the ability to independently ship products end-to-end
- Experience building and integrating LLM-powered systems, including prompt engineering, embedding models, and custom RAG pipelines
- Familiar with modern AI toolkits such as LangGraph, Hugging Face Transformers, Vector Database, OpenAI APIs, and similar
- Comfortable managing backend, frontend, and infrastructure with minimal oversight - you know how to run a build from zero to one
- Strong grasp of API integrations, secure data handling practices, and building analytics pipelines
- Self-starter with a hacker mentality: fast, iterative, hands-on, and resourceful
- Collaborative mindset: able to work closely with product, commercial, and design teams - and eventually lead engineering as the product scales
- Experience at a fintech company or financial institution, or familiarity with capital markets
Nice to have:
- A genuine passion for fintech and an ambition to reinvent how institutional capital is managed through AI
Benefits
What we offer: A derisked startup journey with access to 55 institutional logos. Work with top tier investors and entrepreneurs who have founded more than 30 companies between them. Build products that generate alpha for one of the world's largest and most resourceful industries. A path to equity in the businesses we build through the venture studio.
The process:
- 30-minute screening call
- 45-minute interview with the leadership team (Technical & product-focused)
- Psychometric Testing & Coding/Case Assessment
- 1-hour interview with relevant stakeholders
- Offer & Hire
AI Engineer (Remote based in Europe) employer: Bifrost Studios
Contact Detail:
Bifrost Studios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Remote based in Europe)
✨Tip Number 1
Familiarise yourself with the latest AI technologies and tools mentioned in the job description, such as LangGraph and Hugging Face Transformers. Being able to discuss these tools confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex engineering challenges in the past. Highlighting your ability to navigate ambiguity and turn ideas into reality will resonate well with the company's fast-paced environment.
✨Tip Number 3
Network with professionals in the fintech space, especially those who have experience with institutional capital. Engaging with this community can provide valuable insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 4
Prepare to discuss your collaborative experiences, particularly how you've worked with cross-functional teams. This role requires a strong collaborative mindset, so being able to share specific instances where you successfully led or contributed to team projects will be beneficial.
We think you need these skills to ace AI Engineer (Remote based in Europe)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full-stack engineering experience and any relevant projects you've worked on, especially those involving LLM-powered systems. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech and how your hacker mindset aligns with Leopard Labs' mission. Share specific examples of how you've turned product ideas into reality in fast-paced environments.
Showcase Technical Skills: Be explicit about your familiarity with modern AI toolkits and your experience with API integrations. Consider including a portfolio or links to projects that showcase your technical capabilities and problem-solving skills.
Prepare for Interviews: Anticipate questions related to your experience in building and integrating AI systems. Be ready to discuss your approach to managing ambiguity and collaborating with cross-functional teams, as these are key aspects of the role.
How to prepare for a job interview at Bifrost Studios
✨Showcase Your Full-Stack Skills
Be prepared to discuss your full-stack engineering experience in detail. Highlight specific projects where you independently shipped products from start to finish, focusing on the technologies you used and the challenges you overcame.
✨Demonstrate Your AI Knowledge
Familiarise yourself with LLM-powered systems and modern AI toolkits like Hugging Face Transformers and OpenAI APIs. Be ready to explain how you've integrated these technologies into your previous work and how they can be applied to solve real-world problems in finance.
✨Emphasise Your Hacker Mentality
Illustrate your self-starter attitude and resourcefulness by sharing examples of how you've navigated ambiguity and turned zero-to-one ideas into tangible products. This will resonate well with their fast-paced environment.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of instances where you've worked closely with product, commercial, or design teams. Be ready to discuss how you contributed to team success and how you would lead engineering as the product scales.
