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Full Stack Software Engineer — AI-Augmented Development

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: The Hartford
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 116000 - 174000 USD Yearly USD 116000.00 174000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack Staff Software Engineer — AI-Augmented Development

Staff Software Engineer – AI-Augmented Development

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.

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…
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