Senior Full-Stack Engineer — Remote, Part-Time AI Projects

Weekday AI; United States; Remoto; USD 69.000 - 138.000; Part-time

Descrizione del lavoro

Weekday AI is seeking an experienced Senior Full-Stack Software Engineer for a remote, contractor role. You will work across frontend and backend stacks, translating and refining implementations, debugging complex issues, and validating solutions in production systems.

The ideal candidate has hands-on expertise across multiple languages, strong architectural understanding, and the ability to navigate unfamiliar codebases with independence and focus.

Competenze

• Significant professional experience building production-grade full-stack applications.
• Hands-on experience on both frontend and backend development.
• Proficiency with multiple programming languages and tech stacks.
• Strong understanding of APIs, databases, and system integrations.
• Ability to navigate unfamiliar codebases and deliver high-quality results.

Mansioni

• Full-Stack Development: build, enhance, and debug front-end and back-end components across production applications.
• Feature Implementation: create user-facing features, services, APIs, and data models.
• End-to-End Troubleshooting: trace requests and data flows across all layers.
• Codebase Analysis: understand architecture and identify dependencies and patterns.
• Complex Debugging: diagnose issues across state, contracts, persistence, and deployment.
• Cross-Language Development: translate and improve implementations across languages.
• Code Review and Validation: assess code for correctness, efficiency, security, and maintainability.

Conoscenze

Full-stack mindset

Debugging

Problem solving

Independent work

Strumenti

Python

React

JavaScript

Java

Node.js

Rust

Golang

TypeScript

Descrizione del lavoro

Weekday AI is seeking an experienced Senior Full-Stack Software Engineer for a remote, contractor role. You will work across frontend and backend stacks, translating and refining implementations, debugging complex issues, and validating solutions in production systems.

The ideal candidate has hands-on expertise across multiple languages, strong architectural understanding, and the ability to navigate unfamiliar codebases with independence and focus.