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Autodesk
Senior Software Developer, MCP/AIAutodesk • Winnipeg, Canada
Senior Software Developer, MCP/AI

Senior Software Developer, MCP/AI

Autodesk • Winnipeg, Canada
2 days ago
Job type
  • Full-time
Job description
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.

Job Requisition ID # 26WD99365

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.

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.

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Senior Software Developer, MCP/AI • Winnipeg, Canada

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