Role: AI Engineer

Location: Southlake, TX(Hybrid - 4-day office 1 day Remote)

Salary: $120K

· 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 our core technology infrastructure.

· As a Senior AI Developer, this role will be a leader in AI focused workflows across the System Development Life Cycle.

· You’ll work at the intersection of cutting-edge 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—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 or Claude Code is expected.

o Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.

o Applies to GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).

o Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.

o Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs 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 related technical field, or equivalent practical experience

· Experience:

o 7+ years of professional software engineering experience in actively developing large scale software using: Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment.

o 2+ years of hands-on experience with AI/ML implementation and production deployment

o 6+ years of experience working with containers and microservices in the cloud.

o 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).

o 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or Google Cloud Platform.

o 2+ years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.

o 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB

o Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)

· Domain Expertise: Understanding of broker-dealer capabilities and operations.

· Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment

· Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc.

Preferred Qualifications:

· Master’s degree in information technology, Computer Science, related degree, OR related practical experience

· Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)

· Experience in Financial Services industry

· Experience in Test Driven Development, QA Automation and Quality mindset and behaviors

· Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process

· Willingness to learn all aspects of tech stack and document

· Ability to research and document production and test environments along with architecture and design work

· Knowledge of Agile methodology and experience in an Agile working environment

· Experience with the Atlassian tool stack (JIRA and Confluence)