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Sr. Full Stack AI Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: The Hartford
Full Time, Part Time position
Listed on 2026-04-23
Job specializations:
  • Software Development
    AI Engineer, Full Stack Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Staff Software Engineer – IE07HE

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.

Full Stack Engineer — AI-Augmented Development Position Summary

We are seeking a highly skilled Full Stack 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 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).

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, Graph

    QL 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 delivery 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, or Vue.js), 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, or C#/.NET
  • Cloud & Dev Ops:
    Strong hands‑on experience deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, Git Hub Actions, Git…
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