Senior Full-Stack Developer — Agentic AI

Senior Full-Stack Developer – Agentic AI Product

Position Overview

We are seeking aSenior Full-Stack Developer to help build a brand-newagentic AI application within a growing AI-driven software ecosystem.

This is a greenfield product where large language models (LLMs) and AI agents dynamically influence application behavior and user workflows rather than relying exclusively on predefined, deterministic code paths. The team is defining architecture, development standards, and best practices as the platform evolves.

The ideal candidate has deepReact and Node.js expertise, AWS infrastructure experience, and strong senior-level engineering judgment. A critical part of this role is working alongside AI coding agents and being able tocritically evaluate AI-generated code for correctness, structure, architecture, maintainability, and adherence to engineering standards.

The ability to recognize when functional AI-generated code isnot the right implementation — and determine how it should be corrected — is one of the most important capabilities for this position.

Key Responsibilities

• Design, build, and ship features for a newchat-based, agentic AI product experience.
• Develop full-stack applications usingReact and Node.js.
• Build and support applications and infrastructure withinAWS.
• Work directly withAI coding agents as part of the software development lifecycle.
• Critically review AI-generated code and identify issues related tocorrectness, architecture, design patterns, maintainability, scalability, and engineering standards.
• Correct and refine AI-generated solutions rather than relying on generated output at face value.
• Help definearchitecture, coding standards, patterns, and development practices for a greenfield product.
• Design solutions fordynamic, non-deterministic, LLM-driven workflows rather than relying exclusively on traditional fixed application logic.
• Participate in testing and automation as part of a collaborative engineering model with shared ownership of quality.
• Work closely with engineers in small, highly collaborative development pods.
• Help determine how agentic application flows should be structured, tested, maintained, and scaled as the product evolves.

Required Qualifications

• Strong hands-onReact expertise.
• Strong hands-onNode.js expertise.
• Strong full-stack software engineering background.
• Hands-onAWS infrastructure experience.
• Demonstrated senior-level engineering judgment with the ability to independently evaluate code forcorrectness, structure, architecture, maintainability, scalability, and adherence to engineering standards.
• Experience working withAI-generated code, including the ability to identify mistakes, poor patterns, or inappropriate implementations and determine how they should be corrected.
• Strong understanding of software architecture, design patterns, code quality, and engineering best practices.
• Ability to reason about and developnon-deterministic, LLM-driven or agentic application logic, rather than relying solely on traditional fixed-flow application patterns.
• Testing and automation aptitude, with willingness to take shared ownership of application quality.
• Ability to operate effectively in anearly-stage, greenfield environment where architecture, standards, and product requirements are actively evolving.
• Strong problem-solving skills, adaptability, and ability to work independently with limited direction.

Preferred Qualifications

• Experience developingAI-powered, LLM-driven, conversational, or agentic applications.
• Experience withLLM tool/function calling, agent orchestration, or dynamic agent workflows.
• Experience working within anAI-native or AI-assisted SDLC.
• Experience helping establish engineering standards or architecture for new products.
• Experience with modern testing and automation frameworks.
• Experience withinHCM, HR technology, payroll, or related enterprise software.

Team & Environment

The team operates in small development pods, typically consisting of2–3 engineers working alongside AI coding agents. Developers use AI as an active part of the engineering process while applying their own technical judgment to ensure generated solutions meet production engineering standards.

This is anearly-stage, greenfield initiative, so the successful candidate will be comfortable working in an environment where conventions, architecture, and best practices are actively evolving.

Ideal Candidate

The strongest candidate is asenior React/Node.js engineer with excellent technical judgment who is comfortable building software differently than in a traditional development environment.

The key differentiator is the ability to look at code — including functional code produced by AI — and determinewhether it is actually the right solution. You should be able to spot mistakes, architectural issues, poor patterns, maintainability concerns, or deviations from engineering standards and confidently determine how the implementation should be improved.

You should also be comfortable reasoning aboutdynamic, non-linear, agentic application behavior, taking ownership of testing and quality alongside development, and helping establish engineering standards for a product being built from the ground up.