Full Stack Software Engineer — AI-Augmented Development

Full Stack Staff Software Engineer — AI-Augmented Development Skip to main content#Full Stack Staff Software Engineer — AI-Augmented Development page is loaded## Full Stack Staff Software Engineer — AI-Augmented Development Apply remote type:
Hybrid locations:
Charlotte, NC:
Hartford, CTtime type:
Full time posted on:
Posted Todayjob requisition :
R2625492

Staff Software Engineer - IE07IE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
A new role can expand your knowledge and your network, and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.# Full Stack Staff Software Engineer— AI-Augmented Development## Position Summary We are seeking a highly skilled Full Stack Staff Software Engineer who combines deep software engineering expertise with advanced proficiency in AI-powered development tools.

This role is focused on hands-on building and delivery — a practitioner who ships production-quality code end-to-end across the stack while leveraging AI to accelerate development velocity, improve code quality, and drive innovation.

This role follows a hybrid work schedule. Candidates who live near one of our office locations are expected to work in the office three days per week, Tuesday through Thursday.##

Key Responsibilities ### Hands-On Build & Delivery
* Own features from concept through production release, writing and shipping high-quality code daily
* Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers
* Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs
* Implement and maintain CI/CD pipelines, automated testing, and deployment automation
* Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations
* Own system reliability, performance, and security for the services you build### Full Stack Implementation
* Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with Type Script
* Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET
* Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
* Configure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code
* Build and tune data layers across relational and No

SQL databases, caching, and message queues
* Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence### AI-Augmented Development
* Leverage AI coding assistants (Git Hub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows
* Use AI tools for code generation, refactoring, test writing, documentation, and code review
* Integrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)
* Design and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features
* Evaluate, select, and champion AI tools and practices that improve team productivity
* Develop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)
* Establish guardrails, security practices, and governance for responsible AI usage in engineering### Technical Leadership & Mentorship
* Influence engineering culture by evangelizing AI-augmented development practices
* Train and upskill team members on effective use of AI tools in their daily workflows
* Contribute to internal knowledge bases, tech talks, and communities of practice
* Partner with product, design, and data science teams to identify AI-driven opportunities##

Required Qualifications
* *
* Experience:

** 10+ years of professional software engineering experience, with 5+ years in…