Agentic MCP/AI Engineer for Visualization Platform

Autodesk; Canada; On-site; CAD 99,000 - 145,000; Full time

Job summary

Autodesk Canada is hiring an MCP/AI Developer to build end-to-end features for an agentic platform that lets users interact with models in natural language. You’ll work on MCP tools, agentic workflows, and the services behind them in a cloud-enabled web stack, integrating LLMs and models via APIs.

You will grow ML expertise as the team matures, working with Product and UX to translate requirements into tasks and delivering robust software in a fast-paced environment.

Qualifications

• Master's in Computer Science or Computer Engineering, or Bachelor's with 3+ years of relevant experience.
• Hands-on experience building software in at least one mainstream language (TypeScript/JavaScript preferred).
• Familiarity with modern web development (HTML/CSS/JS) and React framework.
• Experience with Git and collaborative workflows (PRs, branches).
• Exposure to building with LLMs or AI APIs, prompting, model/agent APIs.

Responsibilities

• Implement and maintain clean, well-tested code for MCP tools, agentic features, and their supporting services (front-end and back-end).
• 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.

Skills

TypeScript/JavaScript

React

Git

Agile practices

English communication

ML/AI APIs

Education

Master's in Computer Science / Computer Engineering

Bachelor's with 3+ years of relevant experience

Tools

Node.js

RESTful APIs

AWS

Docker

GitHub Actions

Job description

Autodesk Canada is hiring an MCP/AI Developer to build end-to-end features for an agentic platform that lets users interact with models in natural language. You’ll work on MCP tools, agentic workflows, and the services behind them in a cloud-enabled web stack, integrating LLMs and models via APIs.

You will grow ML expertise as the team matures, working with Product and UX to translate requirements into tasks and delivering robust software in a fast-paced environment.