Senior Full Stack Engineer - People Tools & AI (Remote)

Ladders; United States; Remote; USD 180,000 - 233,000; Full time

Benefits offered by this job

Flexible work

Professional development

Cutting-edge technology

Collaborative culture

Health & wellness

Job summary

Ladders is seeking a Senior Full Stack Engineer for People Products. This remote role focuses on internal HR and People workflows, enabling secure, scalable tools to support hiring, onboarding, and related processes.

You will partner with People and Data teams to ship AI-enabled capabilities while maintaining privacy and security across systems. Responsibilities include building end-to-end features, designing APIs, and driving technical direction.

Qualifications

• 5+ years of professional software engineering experience.
• Strong full-stack skills with React and TypeScript; backend in Go, PHP or Python.
• Familiarity with relational and non-relational databases (Postgres, DynamoDB).
• Expertise in handling sensitive data with authentication and privacy-aware design.
• Experience building internal tools and integrating with SaaS APIs.

Responsibilities

• Launch early People products and evolve them into comprehensive user experiences.
• Redesign workflows across HR systems to streamline hiring and onboarding.
• Develop APIs and connectors for AI tools to access relevant data securely.
• Design a permissioning model for managing confidential People data effectively.
• Collaborate with People and Data teams on AI evaluations and product quality metrics.
• Create reusable components to help team members build simpler tools independently.
• Own the full stack of what you ship and influence technical direction by simplifying complex problems.

Skills

React

TypeScript

Go

Python

PHP

PostgreSQL

DynamoDB

Privacy

Authentication

APIs

Internal tools

Job description

Ladders is seeking a Senior Full Stack Engineer for People Products. This remote role focuses on internal HR and People workflows, enabling secure, scalable tools to support hiring, onboarding, and related processes.

You will partner with People and Data teams to ship AI-enabled capabilities while maintaining privacy and security across systems. Responsibilities include building end-to-end features, designing APIs, and driving technical direction.