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Job Requisition ID #26WD99364Position 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.ResponsibilitiesImplement 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 QualificationsMaster'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 QualificationsNode.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.Learn MoreAbout AutodeskWelcome 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 transparencySalary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $99,000 and $145,200. 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.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis 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).
Candidate Selection & Onboarding Process
1
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
2
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
3
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
4
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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United Kingdom Right to Work & Skilled Worker Visa Guide
Corridor Intelligence
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
🇬🇧Skilled Worker Visa (Tier 2)
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
🏛️Settlement (ILR) Pathway
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Data and Analytics
Recruitment Insights
Based on transatlantic hiring benchmarks for MCP/AI Developer roles across Autodesk's corporate sector, successful applicants typically excel across three core dimensions:
1. Domain Competency
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Data and Analytics.
2. Behavioral & Leadership
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
3. Compensation Alignment
Total compensation expectation aligned within the benchmarked £42,036 - £55,034 bracket, including retirement vesting and health parity.
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