Full Stack Software Engineer - AI-Augmented Development

Position: Full Stack Staff Software Engineer - AI-Augmented Development
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 hands-on full stack tech lead roles

* Education:

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)

* Frontend:
Expert-level proficiency building production applications with modern JavaScript/Type Script frameworks (React, Angular), HTML5, CSS3, responsive design, and accessibility standards

* Backend:
Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django

* Cloud & Dev Ops:
Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, Git Hub Actions, Git Lab CI)

* Data:
Proficiency building and optimizing data layers with SQL and No

SQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning

* API Implementation:
Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)

* AI Tools Proficiency:

* Advanced daily usage of AI coding assistants (Git Hub Copilot, Cursor, or equivalent)

* Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications

* Familiarity with prompt engineering,…