MCP/AI Developer

Autodesk•Toronto, ON

1d•CA$99,000 - CA$145,200•Hybrid

About The Position

Autodesk's Visualization Solutions power high-performance 2D and 3D visualization experiences across our product portfolio. Our new team in Canada is bringing agentic AI to that experience — expanding our Viewer MCP (Model Context Protocol) from a basic capability layer into a production-grade agentic platform that lets users interact with their models in natural language. As an MCP/AI Developer you will build end-to-end features of that platform: MCP tools, agentic workflows, and the services behind them. You'll work hands-on across a modern, cloud-enabled web stack, integrating LLMs and models through APIs to deliver capabilities our users rely on. This is a strong software-engineering role with a clear runway to grow deep ML expertise as the team — and the org's AI competency — matures.

Requirements

Master's in Computer Science / Computer Engineering, or a Bachelor's with 3+ years of relevant experience, or equivalent practical experience.
Hands-on experience building software in at least one mainstream language (TypeScript/JavaScript preferred for our stack).
Familiarity with modern web development (HTML/CSS/JS) and a framework such as React.
Sound understanding of testing, debugging, and code review; experience with Git and collaborative workflows (PRs, branches).
Exposure to building with LLMs or AI APIs — e.g. prompting, calling model/agent APIs, or simple agentic/RAG features (course, side-project, or work experience all count).
Strong problem-solving skills, eagerness to learn ML/AI deeply, and a collaborative mindset.
Experience with Agile practices; strong written and spoken English.

Nice To Haves

Node.js back-end development and RESTful APIs.
Familiarity with the Model Context Protocol (MCP), agent frameworks, or tool-calling patterns.
Cloud and CI/CD basics (AWS, Docker, GitHub Actions) and observability tooling.
Foundational ML knowledge (embeddings, vector search/RAG, model evaluation).
Exposure to 2D/3D rendering, visualization, or graphics concepts (WebGL/WebGPU).

Responsibilities

Implement and maintain clean, well-tested code for MCP tools, agentic features, and their supporting services (front-end and back-end), to team standards.
Integrate LLMs and models via APIs/SDKs to deliver agentic workflows, with attention to correctness, latency, and cost.
Help build the guardrails of agentic workflows — human-in-the-loop steps, traceability, and clear error handling.
Contribute to automated tests, evaluation harnesses for AI behavior, CI/CD pipelines, and developer tooling.
Debug and troubleshoot across the stack (agent/tool logic, APIs, web UI), collaborating with senior engineers and QA.
Work with Product and UX to translate requirements into technical tasks; surface risks and blockers early and seek mentorship.