Senior Software Engineer - AI

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 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.

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)