AI Full Stack Developer

Edelman•Toronto, ON

About The Position

Edelman is seeking a skilled and forward-thinking AI Solutions Engineer (full-stack developer) to join their new AI-driven division. This role involves designing and building robust, scalable back-end systems that integrate cutting-edge GPT technologies. The engineer will collaborate with cross-functional teams to bring innovative solutions to life, leveraging modern APIs, AI models, and automation tools. The position focuses on backend development within the evolving landscape of AI.

Requirements

Curiosity and initiative to keep up with fast-moving AI and web technologies, evaluate what matters, and apply them in product work.
1–3 years of software development experience, including professional, internship, freelance, or strong project-based work.
Experience building web applications with React and Python.
Working knowledge of JavaScript/TypeScript.
Familiarity with backend development, APIs, databases, and authentication.
Experience using Git and GitHub in a collaborative workflow.
Interest in AI application development, LLMs, automation, and emerging developer tools.
Ability to learn quickly, troubleshoot independently, and work in a fast-moving environment.
Strong communication skills and comfort working with both technical and non-technical teammates.

Nice To Haves

Experience with OpenAI APIs or other LLM APIs.
Experience with Supabase/PostgreSQL, edge functions, or serverless backend patterns.
Experience deploying applications on Vercel, AWS, or self-hosted platforms such as Coolify.
Familiarity with Docker, environment variables, secrets management, and basic production deployment practices.
Experience using AI coding tools such as Cursor, Codex, Claude Code, GitHub Copilot, or similar.
Exposure to prompt engineering, AI agents, RAG, workflow automation, or AI-powered internal tools.
A portfolio, GitHub profile, or examples of applications, prototypes, or experiments you have built.

Responsibilities

Build full-stack AI applications using React, JavaScript/TypeScript, and Python.
Develop both rapid prototypes and production-ready applications.
Integrate AI capabilities using OpenAI APIs and related AI services.
Design and implement frontend interfaces, backend APIs, database interactions, and application workflows.
Deploy and manage applications using tools such as Vercel and AWS.
Work with Supabase for backend services such as authentication, database management, storage, and APIs.
Use AI-assisted development tools such as Cursor, v0, Codex, and Claude Code to accelerate development.
Debug, test, document, and improve applications for performance, reliability, and usability.
Collaborate with product, strategy, design, and technical teammates to move ideas from concept to shipped product.
Stay current with emerging AI development practices, tools, and application patterns.