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

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.

Position Summary

• 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

• 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

• 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

• 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

• 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 Ops:
  Strong hands‑on experience deploying and operating on cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, Git Hub Actions, Git Lab CI)
• Data:
  Proficiency building and optimizing data layers with SQL and No
  
  SQL databases (PostgreSQL, MongoDB, DynamoDB,…