Full-Stack Engineer - AI-Driven Pipeline Platform (Remote)

Cornerstone Global Partners (CGP Group); United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Generous paid time off and holidays

Flexible work options

Remote-first environment

Job summary

Cornerstone Global Partners (CGP Group) client is hiring a mid‑level full‑stack Software Engineer. The role focuses on frontend in TypeScript and React, with backend work in TypeScript and Python for a new AI‑driven platform supporting pipeline integrity and risk management.

You will build interfaces, REST APIs, and event‑driven services, integrating with Databricks and Azure, and shape product foundations in a fully remote US setting.

Qualifications

• 3–5 years of professional full‑stack software development experience.
• Strong TypeScript and React, including hooks and data-heavy interfaces.
• Back‑end experience in TypeScript and Python, building REST APIs in production.
• Relational database design, query development, and query optimization.

Responsibilities

• Build production interfaces in TypeScript and React, matching UX designs.
• Develop model configuration and threat-selection workflows with multi-step flows.
• Create data-dense interfaces with sortable tables, dashboards, and map visualizations.
• Design and build REST APIs and services in TS and Python with clear contracts.

Skills

TypeScript

React

Back-end TypeScript

Python

Relational Databases

Azure Cloud

Event-driven Architecture

REST APIs

CI/CD / DevOps

Security awareness

Tools

Databricks

Apache Spark

OpenAPI/Swagger

Git

Terraform

Job description

Cornerstone Global Partners (CGP Group) client is hiring a mid‑level full‑stack Software Engineer. The role focuses on frontend in TypeScript and React, with backend work in TypeScript and Python for a new AI‑driven platform supporting pipeline integrity and risk management.

You will build interfaces, REST APIs, and event‑driven services, integrating with Databricks and Azure, and shape product foundations in a fully remote US setting.