Senior GenAI Software Engineer

Spectraforce Technologies; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Spectraforce Technologies is seeking a Senior GenAI Software Engineer for a 12‑month contract to hire, onsite in Austin or Southlake. You will lead AI-focused workflows across the SDLC, integrating GenAI capabilities into large-scale Java/Spring microservices and cloud deployments.

Expect collaboration with architects and engineers, and impact on broker-dealer systems modernization. The role requires 7+ years of software development, 2+ years in AI/ML deployment, and strong cloud/containers

Qualifications

• 7+ years of professional software engineering in Java/Spring and cloud-based high-volume systems.
• 2+ years of hands-on AI/ML implementation and deployment.
• 6+ years with containers and microservices in the cloud.
• 6+ years in cloud CI/CD deployments.
• 2+ years with databases like MongoDB or PostgreSQL.
• Experience migrating legacy systems to modern Java apps/SQL databases.

Skills

GenAI coding assistants

AI/ML implementation

Java

Spring framework

Cloud development

Web Services

Containers

CI/CD

GitHub Copilot

Claude Code

MongoDB

PostgreSQL

Broker-dealer domain knowledge

Communication

Education

Bachelor's degree in Computer Science/Software Engineering or related field

Tools

GitHub Copilot

Claude Code

AWS

GCP

Job description

Title: Senior GenAI Software Engineer

Duration: 12 Months (contract to hire)

Location: Onsite in Austin or Southlake 4 x weekly**

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 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) – 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 IDE/CLI‑style 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 AI/ML 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 (CI/CD).
  • 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, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB.
  • 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.

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 processes.
• Willingness to learn all aspects of the 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).