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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen-AI Software Engineer - **Company:** Everforth Apex - **Location:** Southlake, TX, United States - **Experience:** Expert - **Salary:** $176,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Cloud Engineering, Cloud Foundry, COBOL (Programming Language), Code Review, Databases, Continuous Integration, IBM DB2, Distributed Systems, Spring Framework, PostgreSQL, Mainframes, Enterprise Messaging Systems, MongoDB, Systems Development Life Cycle, RabbitMQ, Software Deployment, Software Engineering, SQL Databases, Web Services, Aerospike, Google Cloud, Test-Driven Development (TDD), GitHub Copilot, Large Language Models, Prompt Engineering, Generative AI, Information Technology, Atlassian Tools, Apache Kafka, Virtual Agents, Code Restructuring, GPT, Service Stack, Legacy Systems, Microservices - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/2dbc8b59-72de-4d6e-a70a-f508d5dbfd45 ## About the Role * Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC, including implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation-while applying engineering judgment and validation. * Practical familiarity with tools such as GitHub Copilot and/or Claude Code is expected. * Uses AI assistance for common development tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality. * Applies GenAI in ways that reduce context switching and accelerate delivery across typical engineering workflows. * Demonstrates practical familiarity with GenAI tools within IDE and CLI-based workflows. * Working knowledge of agentic workflows, spec-driven development, and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development. Education: * Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience., * 7+ years of professional software engineering experience actively developing large-scale software using Java, Spring Framework, cloud development, and web services, supporting high-volume transactions in a highly available environment. * 2+ years of hands-on experience with AI/ML implementation and production deployment. * 6+ years of experience working with containers and microservices in the cloud. * 6+ years of experience with cloud deployment in a CI/CD model. * 2+ years of experience with Pivotal Cloud Foundry (PCF), AWS, or Google Cloud Platform. * 2+ years of experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL. * 2+ years of prior experience in IT transformation and system modernization initiatives, transitioning from legacy platforms to distributed systems (e.g., Mainframe COBOL/DB2 to Java/SQL or MongoDB-based applications). * Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM). Domain & Collaboration: * Understanding of broker-dealer capabilities and operations. * Excellent communication skills with a proven ability to communicate clearly and lead other engineers in a collaborative environment. * Collaborative mindset with a bias for action, enabling effective engagement with developers, architects, and adjacent teams., * Master's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience. * Knowledge of messaging technologies (RabbitMQ, Kafka, or equivalent). * Experience in the financial services industry. * Experience with Test-Driven Development (TDD), QA automation, and a quality mindset. * Proficiency in developing architectural diagrams, design documentation, functional and technical specifications, and automated test processes. * Willingness to learn all aspects of the technology stack and document solutions. * Ability to research and document production and test environments, including architecture and design. * Knowledge of Agile methodologies and experience working in an Agile environment. * Experience with the Atlassian tool stack (JIRA and Confluence). ## Description You will join a significant technical transformation in Broker-Dealer Systems and the modernization of core technology infrastructure. As a Senior GenAI Software Engineer, this role will serve as a leader in AI-focused workflows across the System Development Life Cycle. You will work at the intersection of generative AI technology and complex financial domains, building intelligent systems that impact retirement security. ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Can This Elephant Dance? 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