Remote AI‑Driven Full‑Stack Engineer

Policyme; Ontario (CA); Remote; USD 77,721 - 105,984; Full time

Benefits offered by this job

Generous PTO – 20 vacation days

Comprehensive benefits plan with fully

L&D budget and AI tooling budget

Stock options

Remote-first team with in-person meet‑

Job summary

PolicyMe is seeking an AI-Driven Full Stack Engineer to build and scale our AI-powered insurance platform. You’ll work across Python, React, Redux, PostgreSQL, and AWS to deliver intelligent features that automate processes and unlock data-driven insights.

You will integrate AI models, design scalable backend architectures, and collaborate with senior engineers to deploy production-grade AI solutions while maintaining strong observability and security standards.

Qualifications

• Strong full-stack development experience across backend and frontend.
• Hands-on experience integrating AI/ML into production systems.
• Ability to design modular, scalable backend architectures.
• Excellent written and verbal communication with stakeholders.

Responsibilities

• Design and develop full-stack features for AI-powered web app.
• Integrate AI models and APIs for document processing and data extraction.
• Collaborate with senior AI engineers to deploy models.
• Build scalable, observable cloud architectures for core services.
• Create robust data pipelines for model training and inference.
• Contribute to architecture discussions and code reviews.

Skills

Full-stack development

AI/ML integration

Technical communication

Autonomous self-starter

Tools

Python

React

Redux

PostgreSQL

AWS

Job description

PolicyMe is seeking an AI-Driven Full Stack Engineer to build and scale our AI-powered insurance platform. You’ll work across Python, React, Redux, PostgreSQL, and AWS to deliver intelligent features that automate processes and unlock data-driven insights.

You will integrate AI models, design scalable backend architectures, and collaborate with senior engineers to deploy production-grade AI solutions while maintaining strong observability and security standards.