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Autodesk

Senior Software Developer, MCP/AI

Toronto, ON, Canada

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Job type: Full-time
Apply by: Oct 1, 2026
Experience: Au moins 5 ans d’expérience dans la mise en production de logiciels
Posting language: English · French
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD99365

L'affichage de poste en français suivra / The French job posting follows.

26WD99365, Senior Software Developer, MCP/AI

Position Overview

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) 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. You'll design how agents orchestrate tools, retain context across sessions, and retrieve the right information (RAG), and you'll 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.

Responsibilities

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 use it 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 customer workflows into robust technical solutions; mentor developing developers

Minimum Qualifications

Bachelor's or Master's 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

Preferred Qualifications

Familiarity with the Model Context Protocol (MCP), agent frameworks, or composable tool/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)

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Read the full bilingual original

Job Requisition ID #

26WD99365

L'affichage de poste en français suivra / The French job posting follows.

26WD99365, Senior Software Developer, MCP/AI

Position Overview

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) 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. You'll design how agents orchestrate tools, retain context across sessions, and retrieve the right information (RAG), and you'll 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.

Responsibilities

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 use it 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 customer workflows into robust technical solutions; mentor developing developers

Minimum Qualifications

Bachelor's or Master's 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

Preferred Qualifications

Familiarity with the Model Context Protocol (MCP), agent frameworks, or composable tool/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)

The Ideal Candidate

You are a strong 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.

26WD99365, Développeur logiciel senior, MCP/IA

Aperçu du Poste

Les solutions de visualisation d’Autodesk offrent des expériences de visualisation 2D et 3D hautement performantes à travers l’ensemble de notre gamme de produits. Notre nouvelle équipe au Canada intègre désormais l’**IA agentique** à cette expérience, en transformant notre **Viewer MCP** (Model Context Protocol) en une plateforme agentique de niveau production qui permet aux utilisateurs d’interagir avec leurs modèles en langage naturel et d’automatiser des tâches complexes de visualisation et de traitement des données.

En tant que développeur MCP/IA senior, vous serez responsable de bout en bout des sous-systèmes « agentic » - depuis la clarification du problème et la conception jusqu’à la mise en œuvre, l’évaluation, le déploiement et le support en production. Vous concevrez la manière dont les agents orchestrent les outils, conservent le contexte d’une session à l’autre 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 d’IA fiables, rapides et dignes de confiance, tout en encadrant les ingénieurs et en contribuant à l’architecture de la plateforme.

Responsabilités

Concevoir et mettre en œuvre des sous-systèmes agentiques complexes : composition d’outils/de capacités, orchestration des agents
, conservation du contexte d’une session à l’autre et récupération d’informations (RAG)
Gérer les sous-systèmes de bout en bout : clarifier les exigences, concevoir, mettre en œuvre, évaluer, déployer et assurer le support en production
Mettre en place et gérer l’**évaluation** du comportement de l’IA - qualité, sécurité, latence et coût - et l’utiliser pour conduire des améliorations durables
Intégrer la confiance dans les flux de travail des agents : contrôles de révision avec intervention humaine, traçabilité, réversibilité et signalisation de confiance
Effectuer des compromis judicieux entre le choix des modèles, les invites/l’orchestration et la conception du système, en équilibrant précision, latence, coût et maintenabilité
Contribuer à l’architecture et aux intégrations inter-produits de la plateforme agentique
Mener l’analyse des causes profondes des problèmes en production ; améliorer la qualité par la révision du code, les tests automatisés et la CI/CD
Collaborer avec les équipes Produit, UX, Assurance Qualité et autres équipes de solutions de visualisation pour transformer les workflows clients en solutions techniques robustes ; encadrer les développeurs en formation

Qualifications Minimales

Licence ou master en informatique / génie informatique, ou expérience équivalente
Au moins 5 ans d’expérience dans la mise en production de logiciels
Maîtrise approfondie de TypeScript/JavaScript et des technologies web modernes (par exemple React)
Expérience avérée dans le développement de fonctionnalités basées sur l’IA/le ML - grands modèles de langage (LLM), agents, systèmes d’orchestration RAG ou similaires - en production
Connaissances pratiques en apprentissage automatique : conception de prompts/agents, extraction d’informations et évaluation du comportement des modèles/agents
Solide compréhension des systèmes distribués, des API et des architectures orientées services
Expérience pratique des tests automatisés, de l’intégration continue et du déploiement continu (CI/CD), ainsi que des workflows Git ; communication efficace en anglais ; expérience dans des environnements Agile

Qualifications Souhaitées

Connaissance du Model Context Protocol (MCP), des frameworks d’agents ou des architectures d’outils/capacités composables
Expérience avec les magasins de vecteurs, les embeddings et le RAG à un niveau de qualité de production
Node.js et architectures cloud-native (AWS, Docker) ; outils d’observabilité
Expérience dans la contribution à des initiatives techniques au niveau de la plateforme ou inter-équipes
Connaissance de la visualisation 2D/3D, de la CAO/BIM ou des technologies graphiques (WebGL/WebGPU)

Le Candidat Idéal

Vous êtes un développeur chevronné et pragmatique qui maîtrise les systèmes de bout en bout et fait preuve d’un véritable sens pratique en matière d’apprentissage automatique appliqué - vous savez comment rendre une fonctionnalité d’agent *fiable*, et pas seulement présentable en démonstration. Vous concevez des solutions évolutives, effectuez des compromis judicieux, procédez à des évaluations rigoureuses et encadrez vos collègues. Vous communiquez clairement avec les différentes disciplines et êtes motivé par la création de capacités d’agents fiables qui alimentent les véritables flux de travail des clients.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Apply About employer

More about this job

Responsibilities

Design, implement, evaluate, deploy, and support production-grade agentic AI subsystems, including tool orchestration, session context retention, and retrieval-augmented generation. Define and improve AI quality, safety, latency, and cost; contribute to platform architecture, resolve production issues, collaborate across teams, and mentor developers.

Requirements

Requires a bachelor's or master's degree in computer science or computer engineering, or equivalent experience, and at least five years delivering production-grade software. Candidates need strong TypeScript/JavaScript and modern web skills, production experience with AI/ML features, applied machine-learning knowledge, distributed systems and API expertise, and experience with testing, CI/CD, Git, and Agile.

Skills

TypeScript
JavaScript
React
Artificial Intelligence
Machine Learning
Large Language Models
Agent Orchestration
Retrieval-Augmented Generation
Model Context Protocol
Prompt Design
Distributed Systems
APIs
Automated Testing
CI/CD
Node.js
AWS

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
JavaScript
React
Node.js
Artificial Intelligence
Machine Learning
Large Language Models
Agentic AI
Model Context Protocol
Agent Frameworks
Agent Orchestration
Retrieval-Augmented Generation
Vector Stores
Embeddings
Prompt Design
Distributed Systems
APIs
Service-Oriented Architecture
Automated Testing
CI/CD
Git
Agile
AWS
Docker
Observability
2D/3D Visualization
CAD/BIM
WebGL
WebGPU
Human-in-the-Loop

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