Full Stack Staff Software Engineer — AI-Augmented Development at The Hartford Financial Services Group Hartford, CT

Sunseeker Property Service; Hartford (CT); Hybrid; USD 116,000 - 174,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

The Hartford in Hartford, CT is seeking a Senior Full Stack Staff Software Engineer—AI-Augmented Development to lead end-to-end delivery of AI-enhanced software. You will own features across frontend, backend, APIs, and data layers, and mentor teams toward reliable, scalable solutions in a hybrid work model.

The role requires 10+ years in software engineering, including 5+ years as a hands-on tech lead. Base compensation ranges from $116,000 to $174,000 annually, with potential bonuses and a

Qualifications

• 10+ years software engineering experience with 5+ years in hands-on full stack tech lead roles.
• Proven ability to own features from concept to production release.
• Experience building frontend with modern JS/TS frameworks and backend services.

Responsibilities

• 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.

Skills

Frontend frameworks (React/Angular/TS)

Backend frameworks (Java Spring Boot,/

Cloud & DevOps (AWS/GCP, Docker, K8s)

CI/CD tooling (Jenkins, GitHub Actions

APIs & data (REST/GraphQL, SQL/NoSQL)

AI tooling & LLM integration

Testing & QA (unit/integration/e2e)

Architecture & microservices

Education

Bachelor's degree in CS/Software Eng or related

Tools

Docker

Kubernetes

AWS

GCP

CI/CD tooling (Jenkins/GitHub/GitLab)

Job description

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.

Full Stack Staff Software Engineer— AI-Augmented Development

Position Summary

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

• 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.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition. The annualized base pay range for this role is: $116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Location: Charlotte, NC; Hartford, CT – Type: Full time