Full Stack Staff Software Engineer — AI-Augmented Development

About this role

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 TypeScript

• 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 NoSQL 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 (GitHub 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/TypeScript 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 & DevOps: Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)

• Data: Proficiency building and optimizing data layers with SQL and NoSQL 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 (GitHub Copilot, Cursor, or equivalent)

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

• Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases

• Track record of measurably improving team velocity through AI tool adoption

• Testing: Strong testing practices including unit, integration, and end-to-end testing with modern frameworks

• Architecture: Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs

Preferred Qualifications • Experience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)

• Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)

• Experience with agent-based AI architectures and autonomous workflows

• Contributions to open-source projects or published technical content

• Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements

• Certifi

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