Job Requisition ID #26WD99364
Position OverviewAutodesk'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.
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.
Minimum Qualifications- 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.
Beneficial Qualifications- 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).
The Ideal CandidateYou are a strong, hands-on engineer who is genuinely excited about AI and eager to go deep. You take ownership of features, write quality code, and communicate trade-offs clearly. You learn fast, ask good questions, and are motivated by building agentic capabilities that put powerful AI in the hands of real users.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
