AI Engineer (Remote based in Europe)

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Proven full-stack engineering background with end-to-end product shipping experience., Experience with LLM-powered systems, including prompt engineering and custom RAG pipelines., Familiarity with modern AI toolkits like LangGraph and Hugging Face Transformers., Strong grasp of API integrations and secure data handling practices..

Key responsibilities:

  • Work with cutting-edge technologies to build solutions for sophisticated financial institutions.
  • Report directly to the CEO and collaborate with product, commercial, and design teams.
  • Manage backend, frontend, and infrastructure with minimal oversight.
  • Lead engineering efforts as the product scales.

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Bifrost Studios https://bifroststudios.com/
2 - 10 Employees
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Job description

Leopard Labs is a Bifrost Studios investment building the AI OS for institutional capital.


They partner with 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.


Tasks

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Resourcefulness
  • Collaboration

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