AI Engineer (Remote based in Europe)

Bifrost Studios; United Kingdom; Remote; GBP 50,000 - 90,000; Full time

Job summary

Bifrost Studios is seeking an AI Research Engineer to innovate within the fintech sector. This role involves end-to-end product development utilizing advanced AI technologies for leading financial institutions. As part of a remote-first team, you will collaborate closely with various departments and have the potential for significant impact in the future of investment management.

Benefits

Access to institutional networks

Equity opportunities

Work with top-tier founders and investors

Innovative startup environment

Qualifications

• Experience at a fintech company or familiarity with capital markets.
• Strong grasp of product lifecycle from zero to one.
• Self-starter mentality, hands-on, and resourceful.

Responsibilities

• Build solutions for sophisticated financial institutions.
• Work with cutting-edge technologies.
• Report directly to the CEO.

Skills

Full-stack engineering

LLM systems integration

API integrations

Data handling practices

Analytics pipelines

Collaboration

Tools

LangGraph

Hugging Face Transformers

OpenAI APIs

Vector Database

Job description

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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.

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

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Industries

  Venture Capital and Private Equity Principals

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