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Full Stack Staff Software Engineer — AI-Augmented Development

The Hartford
United Statesfull_timeVerifiedPosted 25 Jun 2026
💰 $174,000/yr($116,000/yr$174,000/yr)

About the 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

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Company

The Hartford

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