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# AI Software Engineer

- **Company:** Gainwell Technologies
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $90,900.0 - $129,900.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Application Performance Management, Cloud Computing, Static Program Analysis, Code Review, Databases, Relational Databases, Software Debugging, PostgreSQL, Oracle (Applications), Performance Tuning, Query Optimization, Software Engineering, SQL Databases, Systems Integration, Software Technical Review, Enterprise Software Applications, GitHub Copilot, SOAPAPI, Technical Debt, Indexer, Amazon Relational Database Service, Health Level Seven International, Restful APIs, Code Restructuring
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ad741fac6a19496e

## About the Role

* Experience: Ten or more years of application development or software engineering experience supporting complex enterprise applications.
 * Application Development: Advanced hands-on expertise in Java and JavaScript, including REST/SOAP APIs, application design, testing, debugging, and modern development practices.
 * Database & Cloud: Strong experience with SQL, relational databases, PostgreSQL/Oracle, AWS RDS, indexing, query optimization, and performance tuning.
 * AI-Assisted Engineering: Experience using GitHub Copilot and advanced AI models for coding, code analysis, refactoring, testing, debugging, documentation, and technical problem solving.
 * Technical Leadership: Strong experience with solution design, code reviews, technical specifications, complex troubleshooting, mentoring, and modernization of enterprise applications.

## Description

The Advisor Application Developer - AI Software Engineer is a senior hands-on engineering role responsible for developing, modernizing, and supporting large-scale, database-driven healthcare applications., The role combines deep expertise in Java, JavaScript, SQL, relational databases, AWS RDS, application performance, and integrations with modern AI-assisted software engineering. The engineer will leverage GitHub Copilot and advanced AI models for development, code analysis, testing, debugging, complex problem solving, and legacy application modernization., * Design, develop, enhance, and modernize enterprise-scale Java, JavaScript, and database-driven healthcare applications.

 * Develop and optimize complex SQL and AWS RDS solutions, including query tuning, indexing, execution-plan analysis, and application performance.
 * Apply GitHub Copilot and advanced AI models across coding, testing, debugging, refactoring, code reviews, documentation, and technical analysis.
 * Use heavy reasoning models for complex problem solving, architecture, root-cause analysis, performance issues, and legacy-code analysis, while utilizing coding and lightweight models for routine engineering tasks.
 * Support REST APIs, healthcare integrations, and HL7 interfaces, where applicable.
 * Provide technical leadership through solution design, peer reviews, troubleshooting, mentoring, and engineering best practices.
 * Designs, develops, reviews, tests, documents, and implements complex Java, JavaScript, SQL, and database-driven solutions.
 * Performs code and design reviews and promotes modular, maintainable, secure, and testable software engineering practices.
 * Uses GitHub Copilot and advanced AI models to accelerate development, testing, refactoring, debugging, documentation, and code analysis.
 * Designs and optimizes AWS RDS and relational database solutions, including complex SQL, indexing, query tuning, and performance analysis.
 * Develops and supports REST APIs, enterprise integrations, and healthcare/HL7 interfaces.
 * Provides complex technical and production support across application, database, and integration layers.
 * Reviews technical specifications and recommends solutions for modernization, performance, scalability, reliability, and technical-debt reduction.
 * Provides technical leadership, mentoring, and engineering guidance to development team members.
 * Ensures AI-generated solutions are appropriately reviewed, tested, secured, and validated before implementation.