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
- Certifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)
- Technical Competencies: Domain Expected Proficiency
- Frontend Development: Advanced
- Backend Development: Expert
- Cloud & Infrastructure: Advanced
- CI/CD & DevOps: Advanced
- System Design & Architecture: Advanced
- AI Tools & Copilots: Expert
- LLM Integration & Prompt Engineering: Advanced
- Security & Compliance: Advanced
- Testing & Quality: Expert
- Mentorship & Leadership: Advanced
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
