Hybrid Senior Full Stack AI Engineer

at The Hartford

• Job title: Senior Full Stack AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $127,600 - $191,400 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Azure, Cloud, Distributed Systems, Django, DynamoDB, Google Cloud Platform, GraphQL, GRPC, Java, JavaScript, Kafka, Microservices, MongoDB, Node.js, NoSQL, Postgres, Python, RabbitMQ, React, Redis, Spring, Spring Boot, SpringBoot, SQL, TypeScript, Vue.js, .NET
• Location requirements: Hybrid, Hartford, United States

About the role

• Senior Staff Software Engineer developing AI-augmented solutions for production delivery. Seeking a highly skilled full stack engineer with significant professional experience.

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
• 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)
• 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
• Leverage AI coding assistants to dramatically accelerate development workflows
• Use AI tools for code generation, refactoring, test writing, documentation, and code review
• Design and implement RAG pipelines, prompt engineering strategies, and AI-powered features
• Influence engineering culture by evangelizing AI-augmented development practices
• Train and upskill team members on effective use of AI tools in their daily workflows
• Partner with product, design, and data science teams to identify AI-driven opportunities

Requirements

• 10+ years of professional software engineering experience
• 5+ years in hands-on full stack delivery roles
• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
• Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
• Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure)
• Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis)
• Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
• Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)
• Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications
• Strong testing practices including unit, integration, and end-to-end testing with modern frameworks
• Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs

Benefits

• Other rewards may include short-term or annual bonuses
• Long-term incentives
• On-the-spot recognition