Lead Software Engineer - Fullstack Lead - AI, LLM

Lead Software Engineer - Fullstack Lead with AI, LLM focus, onsite in Plano, TX, designing scalable backend services, APIs, and modern UI applications with opportunities to contribute to AI-enabled capabilities.

Responsibilities

• Lead the team in adopting enterprise AI-assisted engineering practices to boost code quality, accelerate delivery, and improve operational outcomes; establish uniform validation standards (secure coding, peer reviews, automated testing) and promote reusable design patterns.
• Utilize the Software Development Life Cycle toolchain and approved AI-assisted development and automation capabilities to maximize automation value.
• Design, develop, and maintain full stack solutions including Java and Spring Boot backend services, RESTful microservices, and modern UI apps built with React or Angular.
• Build secure, high-performance APIs and integrations; contribute to service reliability, resiliency, and performance tuning.
• Collaborate daily with Product, Design, and Data & Analytics to refine requirements, estimate work, and deliver iteratively using Agile practices.
• Write clean, maintainable code with strong unit and integration test coverage; participate in code reviews and design discussions.
• Support and improve CI/CD pipelines and engineering automation; advocate best practices for code quality and developer productivity.
• Contribute to production support including troubleshooting, incident triage, root-cause analysis, and preventative improvements.
• Participate in architecture discussions across applications, data, and infrastructure to help evolve platform standards.

Requirements

• Formal training or certification in software engineering concepts plus at least five years of applied experience.
• Eight or more years of hands-on software engineering delivering production applications with a strong emphasis on backend and UI development.
• Proven track record guiding effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security.
• Solid understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Proficiency with modern UI frameworks such as Angular or React.
• Proficiency in Java and Spring Boot, including building and operating REST APIs and microservices.
• Experience with modern Agile delivery practices (Scrum/Kanban), CI/CD, and DevOps-aligned development with automated quality gates and release pipelines.
• Experience with cloud and/or container platforms (AWS or Cloud Foundry, Docker/Kubernetes).
• Working experience with databases such as Oracle and/or NoSQL datastores like Cassandra or MongoDB (data modeling, query performance, reliability).
• Experience with observability tooling (metrics, logs, traces) and production readiness practices.
• Experience with UAT and/or accessibility testing.

Technologies

• Java
• Spring Boot
• REST APIs
• React
• Angular
• AWS
• Cloud Foundry
• Docker
• Kubernetes
• Oracle
• Cassandra
• MongoDB

Benefits

• Competitive total rewards package including base salary determined by the role, experience, skills, and location.
• Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, aligned with individual achievements and contributions.
• A range of benefits and programs to meet eligible employees' needs.
• Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.
• Additional details about total compensation and benefits provided during the hiring process.