Senior Gen-AI Software Engineer

Senior GenAI Software Engineer

Locations: Southlake, TX or Austin, TX

Your Opportunity

You're empowered to make an impact on your career. Here, innovative thought meets creative problem-solving, helping us challenge the status quo and transform the finance industry together.

Join us for 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 (SDLC). You'll work at the intersection of cutting-edge generative AI technology and complex financial domains, building intelligent systems that directly impact millions of people's retirement security.

Required Qualifications

• 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 (not limited to writing new code)
• Demonstrates practical familiarity with GenAI tools within IDE and CLI-based workflows
• Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specifications that guide AI-assisted implementation), 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

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 GCP
• 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 strong bias for action, enabling effective engagement with developers, architects, and adjacent teams

Preferred Qualifications

• Master's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience
• Good knowledge of messaging technologies (RabbitMQ, Kafka, or equivalent)
• Experience in the financial services industry
• Experience with Test-Driven Development (TDD), QA automation, and a strong 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 thoroughly
• 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)