Full Stack Engineer

Position Title:

Full Stack Developer – AI-Enabled Engineering

Hybrid Roseland, NJ 3x a week

Level:

Mid-Level (approximately 5–7 years preferred)

Focus:

Full Stack Development / AI-Assisted Software Engineering

Position Overview

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

What We Are Looking For

Years of experience are less important than technical maturity and engineering judgment. The strongest candidates will be:

• Curious and eager to learn.

• Self-directed and comfortable working through ambiguity.

• Able to understand a new business domain quickly.

• Strong enough technically to challenge and improve AI-generated solutions.

• Focused on code quality rather than simply producing functioning code.

• Comfortable adapting as AI development practices and tools continue to evolve.

• Collaborative and capable of communicating with both technical and non-technical stakeholders.

The successful candidate will understand that AI can accelerate software development, but strong engineering judgment is what turns AI-generated code into production-quality software.