About this role
Based in Argentina, this remote Senior AI Engineer position is ideal for an autonomous data professional who wants to build fraud-detection systems protecting older adults. The role suits an experienced engineer with a strong background in Python and production-ready language models.
Role Overview
Silver seeks a Senior AI Engineer to join the data team at Carefull, an artificial intelligence platform focused on financial safety for older adults, banks, and credit unions. The person in this role will develop, assess, and refine core AI systems designed to analyze financial transactions and alert families to potential fraud or errors. This hands-on position requires researching scam patterns, creating detection logic, writing production code, and managing features from initial concept through deployment and measurement.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Silver represents Carefull, an artificial intelligence financial safety platform that assists banks, credit unions, and wealth advisors in safeguarding older-adult customers from fraud and financial mistakes. The technology provides identity theft protection, password and document management, communication tools, and educational content to maintain financial independence while supporting family involvement.
How to Apply
To apply for this position, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location requirement for this job?
The role is based in Argentina and operates as a remote position.
What compensation and benefits are included?
The position offers a salary between $60K and $72K, equity offerings, and yearly offsites.
What technical background is required?
Candidates must have strong Python skills, practical experience building production LLM applications, cloud deployment experience, and the ability to set up rigorous evaluations.
What is the primary focus of the engineering work?
The work focuses heavily on fraud detection systems that analyze financial transactions to alert families about concerning activity affecting older adults.
What tools and services are considered strong pluses?
Amazon Web Services (Lambda, CDK, Bedrock, Redshift, DynamoDB) and LLM observability tools like Langfuse or LangSmith are strong pluses.
