GenAI Software Engineer

Everforth Apex
Austin, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Austin, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Unit Testing
Cloud Engineering
Cloud Foundry
COBOL
Code Review
Databases
Continuous Integration
IBM DB2
Distributed Systems
Spring
PostgreSQL
Mainframes
Enterprise Messaging Systems
MongoDB
Systems Development Life Cycle
RabbitMQ
Software Deployment
Software Engineering
SQL Databases
Web Services
Aerospike
Google Cloud Platform
Test Driven Development
GitHub Copilot
Large Language Models
Prompt Engineering
Generative AI
Information Technology
Atlassian Tools
Kafka
Virtual Agents
Code Restructuring
GPT
Api Management
Service Stack
Legacy Systems
Microservices

Job description

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.

Requirements

Generative AI & Development Practices

  • 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, * 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 strong 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
  • 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)

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

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