Full Stack Developer - AI-Enabled Engineering (Mid level)
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Job description
- Design, develop, test, and deliver full-stack application features across front-end and back-end technologies.
- Build modern web applications using React, JavaScript/Node.js, AWS, Lambda, and GraphQL.
- Work within an AI-enabled/agentic software development lifecycle, using AI throughout requirements analysis, specification development, implementation, and troubleshooting.
- Review and validate AI-generated code for correctness, maintainability, scalability, security, and adherence to engineering standards.
- Identify architectural, design-pattern, and code-quality issues that may not be apparent from simply executing generated code.
- Translate product and business requirements into clear technical specifications and implementation plans.
- Develop a strong understanding of the business domain to identify requirements, dependencies, edge cases, and potential issues early in the development lifecycle.
- Work collaboratively in small engineering teams or pairs to deliver complete features from requirements through production.
- Troubleshoot complex application issues across the full technology stack.
- Communicate effectively with engineering teams, product partners, internal stakeholders, and clients.
- Contribute to the continued development of engineering standards and AI-assisted development practices.
Requirements
We are seeking a highly motivated Full Stack Developer to join a fast-moving engineering team building modern applications in an AI-first development environment.
This role requires strong traditional software engineering fundamentals combined with the ability to work effectively with AI-assisted and agentic development workflows. AI will generate and accelerate a meaningful portion of the development process, but the engineer must have the technical depth to evaluate that output, identify problems, troubleshoot issues, and ensure the resulting software meets production-level engineering, architecture, and quality standards.
The ideal candidate is a strong full-stack engineer who is curious, independent, comfortable working across the technology stack, and able to quickly understand the business domain behind the applications they are building., * Strong full-stack software development experience with solid knowledge of both front-end and back-end engineering.
- Strong experience with React and JavaScript.
- Experience developing backend applications using Node.js.
- Experience working with AWS, including serverless technologies such as AWS Lambda.
- Experience with APIs and technologies such as GraphQL.
- Strong understanding of software architecture, design patterns, coding standards, and software development best practices.
- Demonstrated ability to review, troubleshoot, and improve code rather than simply produce working code.
- Ability to independently analyze requirements and identify technical considerations, dependencies, and potential gaps.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to operate effectively in a fast-paced and evolving engineering environment.
Preferred Qualifications
- Experience using AI-assisted development tools or agentic AI development workflows.
- Experience with tools such as Claude Code or comparable AI coding environments.
- Experience using AI to synthesize requirements, generate specifications, implement features, troubleshoot issues, or accelerate development.
- Familiarity with Human Capital Management (HCM), payroll, HR technology, or workforce management domains.
- Previous experience with ADP or organizations operating in similar HCM/payroll environments is beneficial.
- Experience working on teams where engineers own complete features across the technology stack.
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