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# Software Engineer, Applied AI

- **Company:** Recruiting from Scratch
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $201,000.0 - $246,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Code Review, Data Integrity, PostgreSQL, Machine Learning, Performance Tuning, Ruby on Rails, Next.js, Software Deployment, Software Engineering, Data Streaming, TypeScript, ReactJS, Graphql, Data Management, Api Design
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-applied-ai-new-york-ny--3894f40e-744e-4492-be5e-97c7ba3a9dbd

## About the Role

Software Engineering, Artificial Intelligence (AI), Funding, Financial Services, Wealth Management, Artificial Intelligence (AI), Customer Experience, Ruby on Rails, React.js, Application Programming Interface (API), * 5-8 years of experience in software engineering with a focus on full-stack development.

 * Proficiency in Ruby on Rails and React, with strong knowledge of TypeScript.
 * Experience with PostgreSQL and GraphQL for database management and API development.
 * Familiarity with AWS services for application deployment and infrastructure management.
 * Proven ability to work collaboratively in a team-oriented environment.

Preferred

 * Experience in the financial services or fintech industry.
 * Knowledge of Next.js for server-side rendering and performance optimization.
 * Familiarity with machine learning concepts and their application in software development.

## Description

* Design and implement full-stack solutions using Ruby on Rails, React, and TypeScript to enhance platform capabilities.
 * Develop and optimize APIs with GraphQL to ensure seamless data flow and integration across services.
 * Collaborate with cross-functional teams to create scalable applications that meet user needs and business objectives.
 * Utilize PostgreSQL for efficient data management and storage, ensuring data integrity and performance.
 * Deploy and manage applications on AWS, optimizing for cost and performance.
 * Engage in code reviews and contribute to best practices to maintain high-quality standards in software development.
 * Participate in the machine learning lifecycle, integrating AI-driven features into the platform.