Senior Software Engineer/ AI

Job Description

 

Senior Software Engineer (AI)
On behalf of our Financial Services client, Procom is searching for a Senior Software Engineer AI for a 12-month role. This position is a hybrid position with 4 days onsite at our client’s Southlake, TX or Austin, TX office.

Job Description:
Join us for a significant technical transformation in Broker-Dealer Systems and the modernization of our core technology infrastructure. As a Senior AI Developer, you will lead AI-focused workflows across the System Development Life Cycle, working at the intersection of cutting-edge AI technology and complex financial domains to build intelligent systems that directly impact millions of people's retirement security.

Responsibilities:

• 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 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.

Mandatory Skills:

• GenAI coding assistant experience across SDLC workflows including implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation
• Practical familiarity with GitHub Copilot and/or Claude Code
• Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering
• Bachelor’s degree in Computer Science, Software Engineering, related technical field, or equivalent practical experience
• 7+ years of professional software engineering experience developing large-scale software using Java, Spring framework, cloud development, and Web Services
• 2+ years of hands-on AI/ML implementation and production deployment experience
• 6+ years of containers and microservices in the cloud
• 6+ years of cloud deployment in CI/CD model
• 2+ years with PCF, AWS, or GCP
• 2+ years with MongoDB, Aerospike, and/or PostgreSQL
• 2+ years of IT transformation and system modernization from legacy to distributed platforms
• Hands-on experience with LLMs such as GPT-5, Claude, Gemini, or PaLM
• Understanding of broker-dealer capabilities and operations
• Collaborative mindset and ability to work with developers, architects, and adjacent teams

Nice-to-Have Skills:

• Master’s degree in Information Technology, Computer Science, related field, or related practical experience
• Messaging technologies such as RabbitMQ, Kafka, or equivalent
• Financial Services/ Banking industry experience
• Test Driven Development, QA automation, and quality mindset
• Visio diagrams, architectural/design documentation, functional and technical specifications, and automated test process
• Willingness to learn and document all aspects of the tech stack
• Ability to research and document production/test environments, architecture, and design work
• Agile methodology experience
• Atlassian tool stack experience, including JIRA and Confluence

Assignment Length:
This is a 12-month contract position.

Start Date:
ASAP.

Assignment Location:
Southlake, TX or Austin, TX United States, with a hybrid work arrangement requiring 4 days in the office weekly.