Deep Learning Engineer for LLMs & AI Solutions

Fintech Industry; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Revolut is seeking a Deep Learning Engineer to work with the most advanced LLMs, developing solutions that affect millions of customers globally. You will collaborate with Product Owners, Software Engineers and Data Analysts to deliver automated, scalable AI solutions that elevate customer interactions and drive innovation.

The role focuses on building AI-driven features from scratch and integrating cutting-edge technologies.

Qualifications

• Deep learning experience in NLP and large language models.
• Bachelor’s degree in a STEM field (math, CS, engineering).
• Strong skills in Python and SQL in production environments.
• Solid understanding of probability and statistics foundations.
• Excellent communication and collaboration with product, engineering and business heads.

Responsibilities

• Build AI-driven features using state-of-the-art LLMs and DL techniques.
• Develop user-facing and backend features with deep learning.
• Deliver scalable, data-driven AI solutions with measurable impact.
• Collaborate with Product, Engineering and Data teams to solve DL challenges.
• Integrate cutting-edge AI tech to drive Revolut’s innovation.

Skills

Deep learning

NLP

Python

SQL

Statistics

Communication

Education

Bachelor’s degree in STEM

Tools

Git

Job description

Revolut is seeking a Deep Learning Engineer to work with the most advanced LLMs, developing solutions that affect millions of customers globally. You will collaborate with Product Owners, Software Engineers and Data Analysts to deliver automated, scalable AI solutions that elevate customer interactions and drive innovation.

The role focuses on building AI-driven features from scratch and integrating cutting-edge technologies.