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# Quantitative AI Solutions Engineer

- **Company:** Resourcesoft, Inc.
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Computerized Maintenance Management Systems, Continuous Integration, Python (Programming Language), Machine Learning, Software Systems, Enterprise Data Management, Delivery Pipeline, Reliability of Systems, Generative AI, Containerization, Restful APIs, Data Pipelines, Serverless Computing
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/cd09b8f0-1020-4237-b748-068bd3f87ebc

## About the Role

* 10 or more years of experience in asset management software engineering supporting investment teams.
 * Proficiency in Generative AI, machine learning architectures, and Large Language Model implementations.
 * Experience with Python or Java programming for high-performance financial systems development.
 * Experience in AWS cloud infrastructure, serverless computing, and enterprise data services.
 * Experience with front-office investment workflows, portfolio management systems, and market data feeds.
 * Experience in automated CI/CD deployment pipelines, containerization, and RESTful API engineering.
 * Excellent verbal and written communication skills.

## Description

* Architect and deploy Generative AI and machine learning solutions to augment front-office investment workflows.
 * Build scalable backend analytics applications and automated data pipelines on the AWS cloud platform.
 * Develop robust production-grade codebases and algorithmic tools utilizing Python and Java.
 * Collaborate directly with portfolio managers to translate quantitative strategies into software solutions.
 * Integrate machine learning models with real-time financial market data and portfolio management platforms.
 * Implement secure API endpoints and automated CI/CD release pipelines for investment applications.
 * Optimize application runtime performance, computational efficiency, and system reliability for trading desks.