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Enterprise Solutions Inc

Senior AI Java Stack Engineer Developer

Posted: 07/28/2026 Job Number: RjJrZklNUytvSVF5Qk1hMFplOFhtQT09 Pay Rate: 70-80 Hourly USD

Job Description


Title: Senior AI Java Stack Engineer Developer

Duration: C2H 

Location: Austin, TX



Job description

Senior AI Java Stack Engineer Developer

You will be part of a significant technical transformation in Broker Dealer Systems and the modernization of the Firms 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 peoples 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

Uses AI assistance for common dev 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 workflows not limited to writing new code

Demonstrates practical familiarity with GitHub Copilot and or Claude Code within Idealist 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 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

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

2 years of hands-on experience with AIML implementation and production deployment

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

6 years of experience in cloud deployment in a continuous integration and continuous delivery model CICD

2 years of experience with Pivotal Cloud Foundry PCF or AWS or GCP

2 years’ experience working with databases like MongoDB Aerospike and or PostgreSQL

2 years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms ie Mainframe Cobol appsDB2 to Java apps SQL or MongoDB

Handson experience with Large Language Models eg GPT5 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 behaviours’

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

 

Skills

Mandatory Skills: Application Architecture, Architecture Patterns and Styles, GitHub Co-Pilot, Java, Prompt Engineering

 

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