Full Stack Staff Software Engineer — AI-Augmented Development

Full Stack Implementation

AI-Augmented Development

Technical Leadership & Mentorship

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
• 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.)

Domain Expected Proficiency

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