17 Aug
Autodesk
Quebec City
Job Requisition ID #
26WD99365
Laffichage de poste en français suivra / The French job posting follows.
Autodesks 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) into a production-grade agentic platform that lets users interact with their models in natural language and automate complex visualization and data tasks.
As a Senior MCP/AI Developer, you will own agentic subsystems end-to-end - from problem clarification and design through implementation, evaluation, deployment, and production support. Youll design how agents orchestrate tools, retain context across sessions, and retrieve the right information (RAG), and youll define how we measure their quality. You bring solid applied-ML literacy and the engineering judgment to ship AI systems that are reliable, fast, and trustworthy, while mentoring engineers and contributing to platform architecture.
Design and implement complex agentic subsystems: tool/capability composition, agent
Orchestration, context retention across sessions, and retrieval (RAG)
Own subsystems end-to-end - clarify requirements, design, implement, evaluate, deploy,and support in production
Build and own evaluation for AI behavior - quality, safety, latency, and cost - and useit to drive durable improvements
Embed trust into agentic workflows: human-in-the-loop review gates, traceability,reversibility, and confidence signaling
Make sound trade-offs across model choice, prompting/orchestration, and system design,balancing accuracy, latency, cost, and maintainability
Contribute to the architecture and cross-product integrations of the agentic platform
Lead root-cause analysis for production issues; elevate quality through code review,automated testing, and CI/CD
Partner with Product, UX, QA, and other Visualization Solutions teams to turn customerworkflows into robust technical solutions; mentor developing developers
Bachelors or Masters in Computer Science / Computer Engineering, or equivalent experience
5+ years delivering production-grade software
Strong proficiency in TypeScript/JavaScript and modern web technologies (e.g. React)
Demonstrated experience building AI/ML-powered features - LLMs, agents, orchestration RAG systems, or similar - in production
Applied ML literacy: prompt/agent design, retrieval, and evaluating model/agent behavior
Solid understanding of distributed systems, APIs, and service-oriented architectures
Hands-on with automated testing, CI/CD, and Git workflows; effective communication in English;experience in Agile environments
Familiarity with the Model Context Protocol (MCP), agent frameworks, or composabletool/capability architectures
Experience with vector stores, embeddings, and RAG at production quality
Node.js and cloud-native architectures (AWS, Docker); observability tooling
Experience contributing to platform-level or cross-team technical initiatives
Familiarity with 2D/3D visualization, CAD/BIM, or graphics technologies (WebGL/WebGPU)
You are a solid hands-on developer who owns systems end-to-end and brings real applied-ML judgment - you know how to make an agentic feature reliable , not just demo-able. You design scalable solutions, make sound trade-offs, evaluate rigorously, and mentor others. You communicate clearly across disciplines and are motivated by building trustworthy agentic capabilities that power real customer workflows.
Les solutions de visualisation dAutodesk offrent des expériences de visualisation 2D et 3D hautement performantes à travers lensemble de notre gamme de produits. Notre nouvelle équipe au Canada intègre désormais lIA agentique à cette expérience, en transformant notre Viewer MCP (Model Context Protocol) en une plateforme agentique de niveau production qui permet aux utilisateurs dinteragir avec leurs modèles en langage naturel et dautomatiser des tâches complexes de visualisation et de traitement des données.
En tant de développeur MCP/IA senior, vous serez responsable de bout en bout des sous-systèmes « agentic » - depuis la clarification du problème et la conception jusquà la mise en œuvre, lévaluation, le déploiement et le support en production. Vous concevrez la manière dont les agents orchestrent les outils, conservent le contexte dune session à lautre et récupèrent les bonnes informations (RAG), et vous définirez comment nous mesurons leur qualité. Vous apportez de solides connaissances en apprentissage automatique appliqué ainsi que le jugement technique nécessaire pour livrer des systèmes dIA fiables, rapides et dignes de confiance, tout en encadrant les ingénieurs et en contribuant à larchitecture de la plateforme.
Concevoir et mettre en œuvre des sous-systèmes agentiques complexes : composition doutils/de capacités, orchestration des agents
, conservation du contexte dune session à lautre et récupération dinformations (RAG)
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