Remote Full-Stack Engineer for AI/ML Platform

Irth Solutions

United States

Remote

USD 110,000 - 150,000

Full time

3 days ago

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Job summary

Irth Solutions is hiring a mid-level, full-stack Software Engineer to build the interfaces operators use and the services behind them. You will contribute to front-end in TypeScript and React and back-end APIs in TypeScript and Python, connecting to a Databricks/Azure data platform.

This remote US role offers meaningful scope to shape the product and its technical foundation. You will work on model deployment, dashboards, and risk-visualization interfaces, collaborating with AI/ML Insights and

Qualifications

3–5 years of professional full-stack software development experience.
Strong TypeScript and React experience, including hooks, state management, and performance optimization for data-heavy interfaces.
Strong back-end development experience in TypeScript and Python, including building and consuming REST APIs in production.
Proficiency in relational database design, query development, and query optimization.
Hands-on experience with a major cloud provider; Azure preferred, including managed compute, storage, API gateway, secrets management, and monitoring services.
Experience with event-driven architecture, queues, or pub/sub systems for asynchronous processing and result delivery.
Experience with modern front-end tooling and testing, including build systems, package management, and component or end-to-end testing frameworks.
Proficiency with Git and branch-based development workflows.
Understanding of DevOps practices, including CI/CD pipelines, automated testing, and deployment automation.
Experience with vulnerability management and remediation, including dependency scanning and security patching.

Responsibilities

Build production user interfaces in TypeScript and React, implementing UX designs faithfully across layout, interaction behavior, and visual details.
Work from design files and prototypes; identify gaps and ambiguities with designers before implementation.
Build model configuration and threat-selection experiences, including multi-step workflows, parameter forms, input validation and error states.
Build data-dense interfaces: sortable/filterable tables, dashboards, drill-downs, map-based risk visualization.
Design interfaces for long-running analytical operations with progress indicators and recovery.
Build reusable, well-typed components and contribute to a design-system and component library.
Ensure accessibility and cross-browser compatibility across applications.
Design and build REST APIs in TypeScript and Python for model configuration, execution, and results retrieval.